I will build databricks etl pipelines using pyspark, python and sql

I will design and build scalable, high-performance data engineering solutions using Databricks and Apache Spark. I specialize in PySpark-based ETL/ELT pipelines, data transformation, and optimization to help businesses process large volumes of data efficiently.

My services include building Databricks notebooks, ingesting data from multiple sources (databases, APIs, cloud storage), transforming data using Spark SQL and PySpark, and delivering clean, analytics-ready datasets. I also implement data quality checks, unit testing, and performance tuning to ensure reliable and production-ready pipelines.

I work primarily with Databricks on cloud platforms (Azure/AWS) and follow best practices in data modeling, pipeline design, and documentation. Whether you need a small Databricks task, a complete ETL pipeline, or an end-to-end data engineering solution, I provide clear communication, timely delivery, and maintainable code.

Please message me before placing an order so we can discuss your requirements and choose the right package for your use case.