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I will be your databricks data engineer for etl with pyspark and unity catalog
Certified Databricks Multicloud Expert in AWS, GCP, Azure Solutions
Hi there! I’m Arjun — a certified Databricks & multi-cloud engineer with 8+ years of experience across Azure, AWS, and GCP. I help teams transform raw data into real-time insights using tools like Spa...
About this Gig
Certified Databricks and Spark Data Engineer with 8+ years of experience delivering high-performance, cloud-native data solutions across Azure, AWS, and GCP. I specialize in building secure, scalable, and cost-optimized ETL pipelines using Databricks, Apache Spark, Unity Catalog, and Workflows to turn complex data into reliable business insights.
Services I Offer:
- Databricks Workspace Setup & Configuration
- Unity Catalog Design & Secure Access Control
- ETL/ELT Development with PySpark & Delta Lake
- Delta Live Tables (DLT) & Auto Loader Pipelines
- Integration with APIs, Cloud Storage, & Databases
- Performance Optimization, Testing
Success Stories:
- Processed 10M+ records/day with real-time pipelines
- Cut ETL costs by 90% for a finance client
- Reduced processing time from 6 hour's to 20 mins
- Set up Unity Catalog for secure multi-team access
What You'll Get:
- Clean, production-ready ETL code
- Secure Unity Catalog setup
- Clear docs & architecture diagrams
- Cost & performance optimization
Why Choose Me:
- 8+ years of hands-on data engineering
- Certified Databricks expert
- Built for AWS, Azure, and GCP
- Fast, clear, and reliable delivery
️Feel free to reach out before placing an order.
My Portfolio
Other Data Engineering Services I Offer
FAQ
How do you handle large-scale data?
I design pipelines using scalable tools like Apache Spark, Delta Lake, and Databricks Workflows, ensuring efficient processing of millions of records daily. I also optimize partitioning, caching, and resource allocation for performance and cost-efficiency.
Can your solutions scale as my data grows?
Yes — my ETL pipelines are built to scale seamlessly as your data volume increases. Whether you're working with batch or streaming data, I ensure the architecture supports horizontal scaling and performance under heavy workloads.
Can you build and optimize existing Databricks workflows?
Absolutely. I can refactor, debug, and scale your current notebooks or workflows.
What technologies do you use?
PySpark, SQL, Delta Lake, Auto Loader, Unity Catalog, DLT, Airflow, and more.
