I will build scalable etl pipelines using spark

Professional Data Engineering Services | ETL Pipelines | AWS | Databricks

Are you looking to build scalable, reliable data pipelines for your business?

I am a Data Engineer with 6+ years of experience designing and optimizing ETL pipelines using modern cloud and big data technologies.

What I can do for you:

• Build end-to-end ETL pipelines (Extract, Transform, Load)
• Develop PySpark / Spark jobs for large-scale data processing
• Design data lakes on AWS S3
• Create workflows using Apache Airflow
• Implement Databricks solutions for analytics and ML
• Optimize pipelines for performance and cost efficiency
• Integrate data from APIs, databases, and files (CSV, JSON, Parquet)

️ Tech Stack:

• AWS: S3, Glue, IAM, CloudWatch
• Databricks
• Apache Spark / PySpark
• Apache Airflow
• Python / SQL

Why choose me?

• Built pipelines handling multi-terabyte datasets
• Strong focus on performance optimization
• Clean, maintainable, production-ready code
• Fast communication & reliable delivery

Example Use Cases:

• Data warehouse pipelines
• Data lake architecture
• Batch & scheduled workflows
• Data cleaning & transformation
• API to S3 ingestion pipelines