Rodrigo H.
Senior Data Engineer
Experience
Data Engineer and Founder
SapientVase GmbH
Designed and implemented a cloud-based data platform to support precision medicine research projects in the pharma and biotech industry.
Responsibilities:
- Developed a scalable data lakehouse architecture (Medallion Architecture) for efficient integration, processing, and analysis of large, complex research datasets.
- Built data pipelines and real-time data streams for seamless delivery and analysis of research and production data.
- Collaborated closely with business stakeholders to ensure data quality and fit-for-purpose data usage.
- Created a semantic data model from public databases like HPA, Reactome, STRINGdb, ChEMBL, UniProt, XENA, and more.
Technologies & Tools: Microsoft Fabric, Azure Data Lake Storage Gen2, Azure Data Factory, Azure DevOps, Python (PySpark, BioPython, ML Flow), T-SQL, Power BI, Medallion Architecture, Data Modeling, PostgreSQL.
Data Engineer (Freelance)
Callista ACE AG, Client: DENNER AG
Responsibilities:
- Developed cloud applications and their supporting infrastructure.
- Designed and implemented a data quality review and validation strategy for an Azure data lakehouse with batch and streaming processing based on the Medallion Architecture.
- Designed and built data pipelines within a lakehouse data platform.
Technologies: Azure Synapse, Azure Data Factory, Azure Functions, Event Hubs, Terraform, C#, Python, GX (Expectation Management).
Data Engineer
Confiniti GmbH for Clients: ORAYLIS GmbH, Telefónica Deutschland, Volkswagen Financial Services (VWFS)
Clients: ORAYLIS GmbH, Telefónica Deutschland
- Technical lead at the project level, coordinating teams of up to five people.
- Responsible for designing, implementing, and successfully deploying new cloud data solutions to production.
- Close alignment with stakeholders and technical coaching within the team.
Projects & Results:
- Migrated an on-premise Oracle Exadata data warehouse to the cloud.
- End-to-end development of data-driven applications including support and documentation.
Client: Volkswagen Financial Services (VWFS)
- Built automation dashboards using PowerShell Universal and Azure Intune.
Technologies: Azure Databricks, Spark (Scala, SQL, Python), Synapse Analytics, Kafka, Power BI, Azure DevOps, ADLS Gen2, Spark Structured Streaming, PowerShell Universal, Microsoft Azure Intune.
DevOps & Data Engineer
NTT DATA DACH
Lead Developer – Big Data & Software Development
Clients: BMW, Deutsche Börse
- Served as technical lead at the project level, coordinating developer teams of up to five people.
- Oversaw technical implementation of new products from design to go-live.
- Collaborated closely with business and technical stakeholders to ensure project success and quality standards.
- Planned and executed multiple successful production deployments for both clients.
- Held technical leadership responsibilities: architectural decisions, technical reviews, and team member coaching.
Deutsche Börse:
- Technical lead and co-designer of the C7 SCS service (EUREX SCS Reporting Engine), successfully deployed to production.
- Ensured operational stability and performance of big data pipelines in live environments.
BMW:
- Technical lead for developing new microservices for remote services in electric vehicles, successfully rolled out across multiple production environments.
Technologies: Hadoop (HDFS), YARN, Spark (Scala, Python), Kafka, Java, AMQP, OpenShift, Kubernetes, Docker, RESTful APIs, Swagger, Oracle, PostgreSQL, RabbitMQ, Jenkins, Kibana, Grafana, Prometheus.
Web Developer
Schönberger-Group
Developed ETL pipelines and web interfaces to automate order and delivery processes, inventory checks, payments, shipping, and customer feedback for e-commerce.
- Full-stack web application and portal development.
- Database administration and troubleshooting.
- Testing and test plan design.
Technologies: PHP, Java, Python, JavaScript.
Data Analyst - Student
Senvion SE
Responsibilities:
- Performed ETL and analysis of data from SCADA systems in wind farms to identify performance issues and technical faults.
- Developed tools in R to calculate the impact of wind and weather on turbine performance.
- Created internal software tools.
Skills: C#, R, Statistics.
Summary
I am an experienced data engineer and entrepreneur with a proven track record designing, building, and maintaining big data pipelines for real-time streaming and batch workflows. I have hands-on expertise in microservices architecture, RESTful APIs, full-stack web development, and test automation applied in industries like pharma, biotech, and automotive. I have led projects from data ingestion to visualization, worked in agile environments, and coordinated cross-functional teams. I develop scalable solutions using tools like Azure, Python, SQL, Kafka, and Spark, ensuring data quality and efficient performance in cloud and on-premise infrastructures.
Languages
Education
Technische Universität Hamburg
Master of Science · Information Technology · Hamburg, Germany
Universidad de Guadalajara
Bachelor of Science, focused on distributed systems, database design and management, applied statistics · Computer Science · Guadalajara, Mexico
Certifications & licenses
DP-203 Certified Azure Data Engineer Associate
Confluent Certified Developer for Apache Kafka (CCDAK)
Confluent
Managerial Economics and Business Analysis (Online Specialization)
University of Illinois at Urbana-Champaign
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