The Pilot company Data Engineer interview guide, interview questions, salary data, and interview experiences.

Pilot company Data Engineer Interview Guide

Getting ready for an Data Engineer interview at Pilot company? The Pilot company Data Engineer interview span across 10 to 12 different question topics. In preparing for the interview:
<ul>
<li>Know what skills are necessary for Pilot company Data Engineer roles.</li>
<li>Gain insights into the Data Engineer interview process at Pilot company.</li>
<li>Practice real Pilot company Data Engineer interview questions.</li>
</ul>
Interview Query regularly analyzes interview experience data, and we've used that data to produce this guide, with sample interview questions and an overview of the Pilot company Data Engineer interview.


Getting ready for an Data Engineer interview at Pilot company? The Pilot company Data Engineer interview span across 10 to 12 different question topics. In preparing for the interview:

- Know what skills are necessary for Pilot company Data Engineer roles.
- Gain insights into the Data Engineer interview process at Pilot company.
- Practice real Pilot company Data Engineer interview questions.

Interview Query regularly analyzes interview experience data, and we've used that data to produce this guide, with sample interview questions and an overview of the Pilot company Data Engineer interview.
        

Overview

What Pilot company Looks for in a Data Engineer

We've gathered this data from parsing thousands of interview experiences sourced from members.

We've gathered this data from parsing thousands of interview experiences sourced from members.

Pilot company Data Engineer Interview Process

Interview Tips

You are tasked with keeping track of a customer’s addresses in your database.

However, customer’s addresses change whenever they move. We want to keep track of their moving history as well as the person that moves in afterwards.

How would you create or modify a schema to keep track of these address changes?

Create a schema to keep track of customer address changes

Address Schema

Data Modeling

You work as a data engineer for a city-wide bicycle rental company. The company wants to predict future bicycle rental volumes using historical data collected from multiple sources, such as station logs, weather files, and event schedules. You are given access to raw source files that are updated daily.

How would you design an end-to-end data pipeline to prepare and serve data for downstream predictive modeling of bicycle rental demand?

Design an end-to-end data pipeline to process and serve data for predicting bicycle rental volumes.

Bicycle Rental Data Pipeline

Batch & Stream Processing

You’re tasked with designing a database system for Swipe Inc., a company that manages payments for software developers. Swipe manages a set of APIs so developers can abstract payment processes for their web service and transfer control over to Swipe’s APIs to manage payment security and finance handling (contacting credit card providers, etc.)

Your database system should store a collection of API keys with their attributes, as shown in the example below:

<pre tabindex="0" class="chroma"><code>{
 &#34;API_key&#34;:{
 &#34;Transaction_list&#34;:{
 &#34;User_ID&#34;:{
 &#34;Name&#34;:{
 &#34;f_name&#34;: 
 &#34;l_name&#34;: 
 }
 &#34;Card_Details&#34;:{
 &#34;Bank&#34;:
 &#34;Card_No&#34;:
 &#34;Expiry&#34;:
 &#34;CV&#34;:
 } 
 }
 }
 &#34;Curr_balance&#34;:
 }
}
</code></pre>

What are the functional and non-functional requirements for this database?

Determine the requirements for designing a database system to store payment APIs

Swipe Payment API

Pilot company Data Engineer Interview Questions

Nextar è una società specializzata nella consulenza in ambito IT con diverse sedi sul territorio nazionale (Milano, Roma, Torino, Napoli), partner di riferimento per aziende di diversi settori e dimensioni, dalle PMI alle multinazionali, alle quali propone servizi dedicati.Le principali aree di competenza sono: produzione e gestione di software, progetti IT in ambito ERP (SAP, SAP B1), Java e tecnologie Microsoft, WEB e Mobile in tutte le tecnologie, oltre alla consulenza IT. Il nostro obiettivo è diventare un punto di riferimento nel mondo della consulenza aziendale ed IT. Vogliamo creare valore per i nostri clienti essendo riconosciuti come un partner in grado di fornire servizi ad elevato valore aggiunto, con prezzi competitivi e di alta qualità. In un contesto molto dinamico ed in forte espansione siamo alla ricerca di una figura come: Data EngineerSi richiede una buona predisposizione al team working e ottime capacità comunicative e relazionali. Completano il profilo una forte motivazione, proattività e senso di responsabilità. Must have:Almeno 3 anni di esperienza nel ruolo.Competenza nell'utilizzo di Python e SQL.Buona conoscenza di Spark e Databricks.Familiarità con le tematiche di ETL e Data Warehouse. Nice to have:Laurea (magistrale o triennale) in discipline tecniche o diploma di perito informatico o titolo equivalente.Buona conoscenza della lingua inglese. Cosa comprende l’offerta:Contratto di lavoro a tempo indeterminato con livello e retribuzione commisurati all’effettiva esperienza maturata;Benefit: Carta di credito aziendale; aggiornamento professionale tramite piattaforma aziendale. Sede di lavoro:Milano o Torino o Roma o Napoli con possibilità di lavoro ibrido. Non saranno presi in considerazione i cv sprovvisti dell'autorizzazione al trattamento dei dati personali (D.Lgs 196/2003) e del regolamento europeo 2016/679. Le offerte si intendono rivolte a persone di entrambi i sessi (L. 903/77).

En Itequia, somos una empresa tecnológica especializada en soluciones digitales a medidas, y colaboramos con grandes compañías líderes en sus sectores. Buscamos incorporar un/a Data Engineer para integrarse en el equipo de uno de nuestros principales clientes: una multinacional alemana del sector industrial, especializada en soluciones avanzadas de movilidad urbana y sistemas inteligentes para ascensores ubicada en Madrid. ¿Qué harás? ????Te incorporarás al equipo que desarrolla una aplicación web global para la gestión de KPIs no financieros y procesos internos, alojada en Azure y construida con tecnologías punteras como .NET, Angular 16 y Power BI. Este proyecto es clave para mejorar la eficiencia operativa y garantizar la trazabilidad de indicadores en una organización internacional. Tus responsabilidades: <ul><li>Diseñar y mantener pipelines en Azure Data Factory para ingesta y transformación de datos. </li><li>Procesar grandes volúmenes de datos con PySpark (Databricks/Synapse).</li><li>Modelar el Data Warehouse (esquemas estrellas y copo de nieve) para KPIs no financieros. </li><li>Crear y optimizar datasets en Power BI, incluyendo medidas DAX, seguridad (RLS/OLS) y rendimiento. </li><li>Integrar la capa de datos con la aplicación Angular/.NET, garantizando consistencia y experiencia de usuario. </li><li>Implementar gobernanza y seguridad: catálogo de datos, trazabilidad, control de accesos y cumplimiento global. </li><li>Automatizar despliegues y versionado (CI/CD para ADF y Power BI, Git, DevOps). </li><li>Colaborar con los stakeholders para definir KPIs y asegurar calidad y consistencia de datos. </li></ul> Requisitos imprescindibles ✅:<ul><li>Experiencia sólida en ingeniería de datos y modelado de Data Warehouse. </li><li>Dominio de Power BI (informes, DAX, seguridad y optimización). </li><li>Conocimientos avanzados en SQL y PySpark. </li><li>Experiencia con Azure Data Factory y entornos cloud. </li><li>Inglés fluido para trabajar en un contexto internacional. </li></ul> ¿Qué ofrecemos? ????<ul><li>Participación en un proyecto estratégico y de largo recorrido con una multinacional líder. </li><li>Modalidad de trabajo híbrida, 2 días al mes en oficinas ubicadas en Madrid. </li><li>Entorno tecnológico avanzado, buen ambiente de equipo y posibilidades de aprendizaje continuo.</li></ul>

Job Title: Senior Data Engineer/AnalystLocation: Las Vegas, NVJob Description:We are looking for a Senior Developer/Analyst to support high-impact initiatives in the financial services domain. The ideal candidate will leverage strong data and business analysis skills to deliver actionable insights and build robust data solutions in a fast-paced Agile environment. Responsibilities:• Design and maintain process flows, data models and analytic solutions using SAS, SQL, and Python/PySpark.• Deliver high-quality dashboards and visualizations using Tableau or similar tools.• Collaborate with cross-functional stakeholders to understand business needs and translate them into analytical solutions.• Follow Agile and data development best practices for sprint-based delivery.• Prepare documentation and ensure knowledge transfer for ongoing support. Required Qualifications:• Bachelor’s degree in a quantitative or technology-related discipline.• 5+ years of experience in data analysis and process modeling within the financial services sector.• Hands-on experience with SAS, SQL, and working knowledge of Python/PySpark.• Strong dashboarding and data storytelling skills using Tableau, Power BI, or similar tools.• Excellent communication skills and ability to work independently as a contractor. Preferred:• Experience in credit card processing and familiarity with risk/fraud data is a strong plus.Experience with Snowflake or similar modern data platforms is a plus.

Data Engineer (3–4 Years Experience)Location: United States (Remote / On-site – based on client needs)Employment Type: Full-time (Contract or Contract-to-Hire)Experience Level: Mid-level (3–4 years)Company: Aaratech Inc???? Eligibility: Open to U.S. Citizens and Green Card holders only. We do not offer visa sponsorship.???? About Aaratech IncAaratech Inc is a specialized IT consulting and staffing company that places elite engineering talent into high-impact roles at leading U.S. organizations. We focus on modern technologies across cloud, data, and software disciplines. Our client engagements offer long-term stability, competitive compensation, and the opportunity to work on cutting-edge data projects.???? Position OverviewWe are seeking a Data Engineer with 3–4 years of experience to join a client-facing role focused on building and maintaining scalable data pipelines, robust data models, and modern data warehousing solutions. You'll work with a variety of tools and frameworks, including Apache Spark, Snowflake, and Python, to deliver clean, reliable, and timely data for advanced analytics and reporting.????️ Key Responsibilities<ul><li>Design and develop scalable Data Pipelines to support batch and real-time processing</li><li>Implement efficient Extract, Transform, Load (ETL) processes using tools like Apache Spark and dbt</li><li>Develop and optimize queries using SQL for data analysis and warehousing</li><li>Build and maintain Data Warehousing solutions using platforms like Snowflake or BigQuery</li><li>Collaborate with business and technical teams to gather requirements and create accurate Data Models</li><li>Write reusable and maintainable code in Python (Programming Language) for data ingestion, processing, and automation</li><li>Ensure end-to-end Data Processing integrity, scalability, and performance</li><li>Follow best practices for data governance, security, and compliance</li></ul>✅ Required Skills & Experience<ul><li>3–4 years of experience in Data Engineering or a similar role</li><li>Strong proficiency in SQL and Python (Programming Language)</li><li>Experience with Extract, Transform, Load (ETL) frameworks and building data pipelines</li><li>Solid understanding of Data Warehousing concepts and architecture</li><li>Hands-on experience with Snowflake, Apache Spark, or similar big data technologies</li><li>Proven experience in Data Modeling and data schema design</li><li>Exposure to Data Processing frameworks and performance optimization techniques</li><li>Familiarity with cloud platforms like AWS, GCP, or Azure</li></ul>⭐ Nice to Have<ul><li>Experience with streaming data pipelines (e.g., Kafka, Kinesis)</li><li>Exposure to CI/CD practices in data development</li><li>Prior work in consulting or multi-client environments</li><li>Understanding of data quality frameworks and monitoring strategies</li></ul>

???? En Exportadora Data Base estamos buscando un Data Engineer con sólida experiencia en proyectos de Business Intelligence y pasión por los datos. ¿Tienes al menos 6 años desarrollando proyectos BI y te sientes cómodo trabajando con ETL, modelado de datos y herramientas de visualización? ¡Esta oportunidad es para ti! ???? Requisitos:<ul><li>+6 años de experiencia en desarrollo de proyectos BI</li><li>+3 años desarrollando procesos ETL con SSIS</li><li>Dominio de SQL Server y modelado de datos para analítica (DataWarehouse, Data Lake)</li><li>Experiencia creando reportes y dashboards con herramientas como Power BI, Microstrategy o Tableau</li><li>Conocimientos en aseguramiento de la calidad de datos y definición de casos de prueba</li><li>Certificación Microstrategy Analyst vigente</li></ul> ???? Ubicación: Trabajo 100% presencial en Madrid

¿Te apasiona el BigData? ¿Quieres formar parte de un equipo con una de las trayectorias más solventes en el mundo del Machine Learning, Analytics y BigData? ¿Te apetece trabajar en una compañía joven, participativa y especializada? Para ello solo exigimos un requisito, que tus respuestas a las preguntas anteriores hayan sido: ¡SÍ! En Matica Partners, trabajamos continuamente para mantenernos a la vanguardia tecnológica, y además somos una empresa People Centric, donde ponemos al trabajador en el centro de todo lo que hacemos. Creemos en una cultura horizontal, sin egos, en un entorno donde se valoran tanto las ideas como las personas. Buscamos 1 Data Engineer entre 6 meses y 1 año de experiencia habiendo trabajado en todas las etapas del ciclo de vida de proyectos de Data: desde la preparación de datos, transformación y hasta su puesta en producción. Queremos destacar especialmente este último punto: buscamos personas que, al igual que nosotros, no se conformen con las pruebas de concepto, sino que se impliquen en la puesta en producción real de los procesos de Data. ¿Qué buscamos? A nivel técnico:<ul><li>Muy buen nivel de PySpark.</li><li>Familiarizado con componentes de desarrollo: ciclo de vida del software, testing, calidad del código, repositorios/versionado de código (preferiblemente git).</li><li>Experiencia trabajando con cliente y recopilando requisitos de negocio en buenas habilidades de comunicación.</li></ul> Será un plus:<ul><li>Experiencia en el uso de Azure DataFactory y Azure Databricks</li></ul> ¿Cuál será tu día a día?<ul><li>Desarrollar y mantener pipelines ETL para grandes volúmenes de datos</li><li>Consolidar habilidades de desarrollo y orquestación de pipelines ETL en entorno Azure</li><li>Orquestar procesos de ingestión, transformación y almacenamiento de datos en entorno cloud (Azure)</li><li>Colaborar con equipos de negocio y tecnología para toma de requerimientos y traducir las necesidades de negocio en soluciones técnicas</li><li>Documentar flujos y procesos de datos.</li><li>Participar en reuniones con cliente para toma de requerimientos y propuesta de soluciones.</li><li>Contribuir a mejorar la calidad y eficiencia de los procesos de datos del proyecto.</li></ul> También es importante tener un buen nivel de inglés, ya que muchos de nuestros proyectos serán para clientes internacionales. ¿Qué ofrecemos? Contrato indefinido y un salario competitivo, en este caso entre los 22.000 y 26.000 euros brutos/año de entrada, ajustado según tu experiencia (nuestro plan de carrera incluye 2 revisiones anuales). También tendrás a tu disposición un plan de formación especializado, participación en la propiedad y los beneficios de Grupo Mática: Wetaca gratuito en la oficina dos días a la semana, horario flexible con facilidades para trabajar desde donde quieras, seguro de salud y un divertido welcome kit con portátil (podrás escoger entre varios modelos Mac o Windows), móvil, botella personalizada, auriculares bluetooth y golosinas. Cuando estés en nuestra oficina, en el centro de Barcelona o Madrid, la fruta, los cafés y los refrescos corren a cuenta de Mática. ¡Ah! Y si eres amante de los animales, te gustará saber esto: ¡nuestras oficinas son Pet-friendly! Si te interesa, escríbenos por LinkedIn o envía tu CV a seleccion@maticapartners.com Do you want to be Mática? Be Mática!

Title : GCP Data EngineerLocation: Bentonville , AR (Onsite)Job Type- Full TimeRole OverviewWe are seeking an experienced GCP Data Engineer to design, build, and optimize large-scale data pipelines and analytics solutions on Google Cloud Platform. The ideal candidate will have strong expertise in distributed data processing, real-time ingestion, ETL/ELT, and end-to-end cloud data architecture. Key Responsibilities<ul><li>Design and develop scalable data pipelines using BigQuery, Dataflow, Dataproc, and Pub/Sub.</li><li>Build batch and streaming ETL solutions using Python, SQL, and Apache Beam.</li><li>Implement data ingestion frameworks connecting APIs, databases, streaming platforms, and third-party systems.</li><li>Develop and maintain data models, data marts, and optimized tables in BigQuery.</li><li>Orchestrate workflows using Cloud Composer or Airflow.</li><li>Ensure data quality, lineage, and governance using best practices and tooling.</li><li>Optimize query performance, storage costs, and pipeline reliability across cloud environments.</li><li>Collaborate with data scientists, analysts, and business teams to deliver reliable datasets and analytics layers.</li><li>Implement infrastructure-as-code solutions using Terraform or Cloud Deployment Manager.</li><li>Monitor pipeline health, troubleshoot failures, and ensure SLAs for critical data flows.</li></ul> Required Skills<ul><li>Strong experience with Python, SQL, and distributed data systems.</li><li>Hands-on expertise with BigQuery, Dataflow, Pub/Sub, Cloud Storage, and Dataproc.</li><li>Solid understanding of ETL/ELT frameworks, data modeling, and performance tuning.</li><li>Experience with Airflow / Cloud Composer for orchestration.</li><li>Familiarity with CI/CD, Git, Docker, and DevOps practices.</li><li>Knowledge of Kafka, Spark, or Beam-based pipelines is a plus.</li><li>Strong problem-solving and communication skills.</li></ul> Preferred Qualifications<ul><li>Experience working in finance, healthcare, or enterprise-grade cloud environments.</li><li>Certifications such as Professional Data Engineer – Google Cloud.</li><li>Knowledge of ML pipelines and integration with AI platforms.</li></ul>

Role: Sr Azure Data EngineerLocation: Princeton, NJ - OnsiteDuration: 6+ Months Job Description:We are seeking an experienced Azure Data Engineer with strong expertise in modern data platform technologies including Azure Synapse, Microsoft Fabric, SQL Server, Azure Storage, Azure Data Factory (ADF), Python, Power BI, and Azure OpenAI. The ideal candidate will design, build, and optimize scalable data pipelines and analytics solutions to support enterprise-wide reporting, AI, and data integration initiatives. Key Responsibilities.Design, develop, and maintain Azure-based data pipelines using ADF, Synapse Pipelines, and Fabric Dataflows.Build and optimize data warehouses, data lakes, and lakehouse architectures on Azure.Develop complex SQL queries, stored procedures, and data transformations in SQL Server and Synapse SQL Pools.Implement data ingestion, transformation, and orchestration solutions using Python and Azure services.Manage and optimize Azure Storage solutions (ADLS Gen2, Blob Storage).Leverage Power BI and Fabric for data modeling, dataset creation, and dashboard/report development.Integrate and utilize Azure OpenAI for data enrichment, intelligent automation, and advanced analytics where applicable.Ensure data quality, data governance, and security best practices across the data lifecycle.Troubleshoot data pipeline issues, optimize performance, and support production workloads.Collaborate with data architects, analysts, BI developers, and business stakeholders to deliver end-to-end data solutions.

Chi SiamoIn Dev4Side Software, crediamo che per raggiungere risultati di qualità e in grado di soddisfare i clienti servano passione ed evoluzione costante. È per questo motivo che il nostro team è composto da persone appassionate di nuove tecnologie e di sviluppo. Abbiamo due sedi, una a Milano e la seconda a Pesaro, ma il nostro è un team diffuso sul territorio grazie alla nostra politica di Smart working flessibile.Realizziamo:<ul><li>Sviluppi software per importanti clienti internazionali: <a>https://www.dev4side.com/</a></li><li>Digital workplace con la nostra proposta verticale: <a>https://intranet.ai/it/</a></li></ul> Chi CerchiamoSiamo alla ricerca di un Data Engineer Developer, il quale andrà a lavorare su sistemi di raccolta, trasformazione e analisi dei dati. Entrerai a far parte del team Modern work operando su progetti diversificati con partner italiani ed europei. Perchè lavorare in Dev4Side?<ul><li>Organico giovane con forti competenze tecniche</li><li>Ci piace fare software e ci teniamo a farlo bene, usando gli strumenti giusti per ogni tipo di progetto</li><li>Investiamo sulle nuove tecnologie e lavoriamo su progetti moderni ed interessanti</li><li>Per noi una sana Cultura Aziendale è alla base del nostro rapporto lavorativo</li><li>Si lavora in modalità ibrida, con focus sull'area di Milano. Offrendo la flessibilità di lavorare da casa o dall’ufficio in base alle esigenze di ciascuno, per creare un team composto di persone e non solamente di risorse.</li></ul> Il nostro candidato ideale ha:<ul><li>Solida conoscenza dei principali database relazionali e non relazionali.</li><li>Esperienza comprovata nell’utilizzo di Apache Spark e Databricks.</li><li>Competenze nei linguaggi di programmazione Python e R.</li><li>Familiarità con la piattaforma cloud Microsoft Azure e i suoi principali servizi.</li><li>Conoscenza di Power BI e delle principali funzionalità a questo associate. Un plus la conoscenza di Tableau.</li><li>Costituisce un plus la capacità di orchestrare workflow complessi, con esperienza nell’uso di strumenti come Azure Data Factory e/o Apache Airflow per la gestione di pipeline ETL/ELT.</li><li>Aggiunge valore alla candidatura la conoscenza di Azure Data Lake Storage Gen2 e Blob Storage, con abilità nell'integrazione con Databricks.</li></ul> Equal Opportunity Statement:La selezione è rivolta ai candidati dell'uno e dell'altro sesso ai sensi del D. Lgs. 198/2006. Tutte le candidature saranno gestite ai sensi del Regolamento Europeo 2016/679 ( c.d. GDPR).

Position Summary:We are seeking an experienced and versatile Data Engineer to join our Data & Analytics team. This role focuses on designing and maintaining data pipelines that integrate Oracle Cloud applications and other operational systems with both AWS Data Lake and Microsoft Fabric environments. The successful candidate will play a critical role in enabling enterprise reporting and advanced analytics through robust data ingestion, transformation, and integration frameworks. Key Responsibilities:<ul><li>Build and maintain data pipelines to extract and move data between Oracle Cloud (ERP, HCM, SCM) and other operational systems, plus between AWS Data Lake (S3, Glue, Redshift) and Microsoft Fabric (OneLake, Lakehouse, Data Factory).</li><li>Design and optimize ETL/ELT processes for large-scale, multi-source data ingestion and transformation.</li><li>Integrate with external cloud-based systems (e.g., Salesforce, ServiceNow, MS Business Central) using APIs, flat files, or middleware.</li><li>Utilize Oracle Integration Cloud (OIC), FBDI, BIP, and REST/SOAP APIs for data extraction and automation.</li><li>Leverage Microsoft Fabric components, including Data Factory, Lakehouse, Synapse-style notebooks, and KQL databases, to enable structured data availability.</li><li>Collaborate with BI developers to enable Power BI semantic models, apps, and enterprise-wide reporting.</li><li>Implement monitoring, logging, and error-handling strategies to ensure reliability and performance of data pipelines.</li><li>Adhere to best practices in data governance, security, lineage, and documentation.</li><li>Partner with data architects, analysts, and business stakeholders to translate business needs into scalable data solutions.</li></ul> Required Skills & Qualifications:<ul><li>Bachelor’s or Master’s degree in Computer Science, Information Systems, Engineering, or related field.</li><li>3+ years of experience in data engineering, including cloud data integrations and enterprise data pipeline development.</li><li>Experience with Oracle Cloud (ERP, HCM, or SCM) and its integration mechanisms (FBDI, BIP, REST APIs, OIC).</li><li>Familiarity with AWS Data Lake architecture: S3, Glue, Redshift, Athena, Lambda, etc.</li><li>Hands-on experience in the Microsoft Fabric ecosystem, including Data Factory (Fabric), OneLake, Lakehouse, Notebooks, and integration with Power BI.</li><li>Proficiency in SQL, Python, and experience with ETL orchestration tools (e.g., Airflow, Step Functions).</li><li>Strong knowledge of data modeling, data quality, and pipeline optimization.</li><li>Experience with Power BI datasets and reporting enablement, particularly in semantic model design.</li></ul> Preferred/Desirable Skills:<ul><li>Familiarity with streaming data tools (e.g., Kafka, AWS Kinesis, Fabric Real-Time Analytics).</li><li>Experience with Git-based version control, CI/CD for data pipelines, and infrastructure as code (e.g., Terraform, CloudFormation).</li><li>Knowledge of metadata management, data lineage tracking, and data governance frameworks.</li><li>Cloud certifications (e.g., AWS Certified Data Analytics, Microsoft Certified: Fabric Analytics Engineer, Oracle Cloud Certified) are a strong plus.</li></ul> Soft Skills:<ul><li>Strong problem-solving and analytical thinking.</li><li>Excellent communication skills, with the ability to collaborate across business and technical teams.</li><li>Highly organized, detail-oriented, and self-motivated.</li><li>Comfortable in fast-paced environments with shifting priorities.</li></ul>

Question	Topic	Difficulty	Ask Chance
Address Schema	Data Modeling	Medium	Very High
Bicycle Rental Data Pipeline	Batch & Stream Processing	Medium	Very High
Swipe Payment API	Data Modeling	Easy	High