As an experienced freelance ETL (Extract, Transform, Load) and Data Engineer, I specialize in building robust, scalable, and efficient data systems that transform raw data into actionable insights. I help organizations streamline their data pipelines, optimize data workflows, and integrate complex data systems to drive business decisions. My services are designed to meet the unique needs of your organization, whether you need full-scale data engineering solutions, individual ETL process setups, or ongoing data infrastructure support
ETL Pipeline Development & Optimization
- I design and implement end-to-end ETL processes, from data extraction to transformation and loading into databases or cloud storage solutions. Using industry-standard ETL tools and programming languages (e.g., Apache Airflow, Talend, Python, SQL), I ensure data flows efficiently across your systems. I can optimize existing pipelines to improve performance, reduce latency, and scale for growing data
Data Integration & Warehousing
I provide seamless data integration services, ensuring data from various sources (APIs, databases, flat files, cloud storage) are aggregated and transformed into a centralized data warehouse or lake. I work with platforms like AWS Redshift, Google BigQuery, Snowflake, and Azure Data Lake to create powerful data warehouses that support your analytics and business intelligence needs.
Technologies I Work With:
- Programming Languages: Python, SQL
- ETL Services/Tool: SAP BODS, AWS Glue
- Cloud Platforms: AWS
- Data Warehousing Solutions: AWS Redshift
- Databases: SSMS, Oracle
- ETL Tools & Frameworks: Apache Airflow, TIDAL