Addla Chandra

Background

About Addla Chandra

Who am I? Data Engineer | Azure | PySpark | ADF | Databricks | Terraform | SQL | Real-time Streaming I’m a results-driven Data Engineer with 5+ years of experience designing, developing, and optimizing scalable data solutions in cloud ecosystems, primarily Microsoft Azure. My passion lies in transforming raw data into powerful insights that fuel business decisions and drive innovation. At LTI Mindtree, I engineered distributed data pipelines with Azure Databricks and implemented real-time ingestion with Azure Event Hubs, enabling low-latency analytics and faster decision-making. I’ve automated infrastructure provisioning using Terraform and built CI/CD pipelines in Azure DevOps to accelerate and simplify deployment cycles. Known for improving PySpark job performance by 40% and reducing critical data incidents by 25%, I’m constantly focused on system reliability, scalability, and operational efficiency. My expertise spans: ETL pipeline development (batch + real-time) Azure Data Factory, Databricks, Blob Storage, Event Hubs SQL stored procedures, schema design & optimization PySpark performance tuning & distributed data processing Data governance (Unity Catalog), CI/CD (Azure DevOps), Terraform (IaC) Cross-functional collaboration & production support I thrive in dynamic, global environments where data is at the core of transformation. I'm always eager to learn, solve complex data challenges, and contribute to building high-performance data systems that make a real-world impact. Let’s connect if you’re looking for someone who can build, scale, and optimize your data infrastructure with precision and purpose.