Analytics Engineer / Data Engineer - MylanTech GmbH
(2023-03)
European Energy Client — Internal Energy Market Portal
- Translated complex energy-market business requirements into technical specifications for central data-platform workflows and data products across hedge tracking, pricing, and operational data-quality use cases.
- Migrated frontend-owned SQL logic into backend SQLAlchemy APIs using Arrow IPC and Polars, centralizing query semantics and improving maintainability of data-serving workflows.
- Investigated transaction-status and Snowflake/PostgreSQL monitoring mismatches by tracing active/inactive transaction semantics across dashboard queries, database views, and sync-count logic, improving operational data reliability.
- Provided technical guidance on Streamlit/API design, shared components, data validation patterns, and troubleshooting practices to support collaborative delivery across junior and cross-functional team members.
Data Engineer - Munich Re
MRE-PAT / DAISY Data Platform
- Architected scalable Azure Data Factory ingestion pipelines from Azure SQL Database sources into ADLS/Databricks Bronze layers, using ForEach orchestration, dynamic partitioning, and Parquet formatting to optimize high-volume data processing.
- Supported Databricks JDBC refresh workflows into Gold-layer Delta tables while Bronze ingestion was being finalized, validating load quality through row counts, metadata checks, Delta history, and data-quality controls.
- Developed and validated PySpark/Apache Spark logic for AVI node mapping and change detection, incorporating SCD Depot and Funds Profitcenter attributes for downstream Power BI data products.
- Troubleshot Delta Lake schema conflicts, Azure Key Vault and linked-service issues, Azure DevOps environment parameter mismatches, and Unity Catalog/AAD governance access patterns.
- Collaborated with stakeholders on PAT reporting architecture spanning Bronze, standardized, and Gold layers, translating Appian, AVI, and Power BI requirements into scalable Databricks data models.
Data Engineer - Munich Re
MRE-Alts / DAISY IFRS Gold Layer
- Developed Gold-layer dimensional models for alternative-investment reporting, including calendar-rich date dimensions and historized allocation-factor structures for data warehouse consumption.
- Implemented PySpark transformations to integrate Silver-layer sources into reporting-ready Gold dimensions and facts, supporting scalable Databricks-based data products.
- Expanded cashflow and allocation logic across multiple scenarios, improving data quality, reporting completeness, and test coverage for alternative-investment workflows.
Data Engineer - Axplora
Sales & Financial Analytics Data Warehouse
- Designed an Azure Synapse Analytics sales warehouse for historical sales, budget, and forecast reporting using SQL ETL, Python/Pandas processing, dimensional modeling, and Power BI.
- Automated data collection, validation, cleansing, and standardization across heterogeneous business-unit files, enabling consistent reporting across sales, budget, and forecast inputs.
- Built Power BI reports and reporting-ready datasets supporting variance analysis, profitability, executive KPI tracking, and business-friendly stakeholder communication.
Cloud Data Engineer - Otto von Guericke University
(2022-09 - 2023-09)
- Engineered cloud-based analytics prototypes leveraging GCP services (Vertex AI, Cloud Functions, Pub/Sub, Firebase) to support data analytics curriculum.
Data Engineer - Atlas Copco
(2018-03 - 2021-05)
- Developed alerting and reporting logic for procurement events, inventory thresholds, supplier delays, and vendor performance monitoring.
- Delivered SQL/Excel/BI reporting that supported sourcing, quality, and operations teams.
