ANANDA DEEPIKA

• Data Engineer with 5+ years of experience delivering scalable data solutions, ETL pipelines, and cloud based architectures. • Hands-on expertise in SQL, Python, and PySpark for transforming, cleaning, and modeling large datasets. • Designed and deployed end-to-end ETL workflows using tools like Azure Data Factory, Apache Airflow, SSIS, and Informatica. • Proficient in cloud platforms: Azure (Data Lake, Synapse, Databricks), AWS (Glue, S3, Redshift), GCP (BigQuery, Dataflow). • Built and managed data lakes, data warehouses, and real-time streaming pipelines using Kafka, Spark Streaming, and Cloud Pub/Sub. • Skilled in data modeling using Star/Snowflake schema, dimensional modeling, and OLAP cubes for analytical efficiency. • Created interactive reports and dashboards using Power BI, Tableau, and Looker to support business intelligence. • Experience implementing CI/CD pipelines using Git, Jenkins, Azure DevOps, and Terraform for infrastructure as code. • Collaborated with cross-functional teams including analysts, data scientists, and business stakeholders in Agile environments. • Strong problem-solving, communication, and documentation skills with a focus on delivering high impact, data-driven solutions.