Deepika K. Email and Phone Number

Data engineering requires a blend of technical precision and adaptive problem-solving. It’s not simply a series of steps; instead, it’s a field driven by analyzing trends, learning from experience, and innovating to overcome data challenges.My journey began with a fascination for programming, first realized through building models that uncovered data patterns. This initial spark pushed me toward data engineering, where I specialize in working with vast datasets to generate actionable insights. Through experience, I’ve become skilled in managing data processes, from data ingestion and cleansing to comprehensive analysis and visualization.Key to my skill set is the ability to implement big data frameworks like Hadoop, Spark, and Dask to optimize data workflows. Additionally, I’ve honed cloud expertise across major platforms: AWS (Redshift, S3, Glue), Google Cloud Platform (BigQuery, Dataproc, Cloud Storage), and Azure (Data Lake, Synapse Analytics, Databricks), enabling me to build, scale, and secure data infrastructure in cloud environments.I’m also proficient in data warehousing and modeling, specializing in Star and Snowflake Schema design for scalable architectures. I use tools like Erwin Data Modeler, PowerDesigner, and Embarcadero ER/Studio to create logical, conceptual, and physical data models and build Entity-Relationship Diagrams (ERDs) that represent complex datasets. My experience includes extensive work on migrating SQL databases to Azure Data Lake, Azure SQL Database, and Databricks using Azure Data Factory to orchestrate smooth transitions.