I will develop scalable etl pipelines using databricks

Need a robust and scalable ETL pipeline built on Databricks? You're in the right place!

Im Gajendra a Certified Data Engineer and Data Analyst with 6+ years of experience building end-to-end data solutions for enterprise clients. Whether you're working with batch or streaming data, I specialize in designing clean, efficient, and production-ready ETL pipelines using Databricks, PySpark, and AWS.

What I Offer:

• End-to-end ETL/ELT pipeline development on Databricks
• Data ingestion from multiple sources (S3, RDS, APIs, etc.)
• Data cleaning, transformation, and enrichment using PySpark
• Integration with Delta Lake, SQL, and cloud storage
• Workflow orchestration with Databricks Jobs or Apache Airflow
• Version-controlled deployment (Git, CI/CD)
• Documentation and notebook-based delivery

Tools & Technologies: Databricks (Jobs, Notebooks, Delta Lake), PySpark, SQL, AWS (S3, Glue, Lambda, RDS), Airflow / Databricks Workflows, Git, CI/CD, DBFS

‍ Why Work With Me?

• Certified in Databricks & AWS
• 6+ years of experience in Data Engineering & Analytics
• Fast and clear communication
• Production-level code with reusable design

Lets automate and scale your data workflows the right way!