Name: Data Enginer
Price: 500 EUR
Availability: InStock

Description

Google Cloud Certified – Professional Data Engineer, end-to-end data engineering expertise on GCP
Experienced in Azure Databricks, ADF, Python, SQL, and modern ETL/ELT.
Skilled in Medallion Architecture and Delta Lake (ACID, MERGE, schema evolution, OPTIMIZE/VACUUM) for
Strong background in batch/stream processing, predictive analytics, and ML workflows.
Proven ability to deliver secure, high-performance, cost-efficient data platforms across Azure, AWS, and GCP

Languages

Romanian
Native or bilingual
English
Native or bilingual

Workplace preferences

Remote only

Primarily works remotely

Banking Industry
Senior Data Engineer
BANKING AND INSURANCE
May 2024 - Today (2 years and 3 months)
Bukarest, Romania
Engineered Python/PySpark ETL pipelines for multiple sources, increasing throughput ~20%
Refactored cloud data architectures (Azure/GCP), reducing costs 15–25%.• Implemented governance, cataloging, and profiling frameworks (GDPR/CCPA), across critical datasets.
Enabled ML pipelines, secure Vertex AI workflows for feature engineering, model serving, and threat detection.
PySpark SQL Python Google Cloud Platform (GCP)
Waste Management & Recycling Industry
Senior Data Engineer
ENVIRONMENTAL
June 2025 - November 2025 (5 months)
Bukarest, Romania
Built Delta Lake pipelines with ACID guarantees, schema evolution, and MERGE upserts for 1TB+ daily workloads, improving performance with OPTIMIZE (Z-ORDER) and automated VACUUM policies.
Designed scalable architectures across Delta Lake, ADLS, and Synapse, delivering 30–40% performance gains, and developed Spark/PySpark workloads that cut ETL runtimes by up to 50%.
Implemented NoSQL models in Cosmos DB (25%+ query improvement) and automated data quality, governance, and CI/CD workflows to increase platform reliability.
Databricks SQL PySpark Python
ING Hub
Senior Big Data Engineer
BANKING AND INSURANCE
September 2023 - May 2024 (8 months)
Bukarest, Romania
Modernized Databricks & ADF pipelines with Medallion Architecture, improving efficiency (~15-25%).
Built SQL Bronze/Silver/Gold tables to consolidate data, reducing redundancy (~30-40%).
Applied Unity Catalog for governance, lineage, and quality, enhancing data trust.
Automated ETL and orchestration with Python, SQL, APIs, and Azure DevOps.
SQL Python APIs