Chetan Sunku Email & Phone Number

Flagstaff, Arizona, United States

As a Graduate Teaching Support at Northern Arizona University, • Supported 160 students in Data Engineering and Big Data Analytics courses, providing personalized guidance on ETL processes, data modeling, and distributed computing.• Offered hands-on assistance to improve proficiency in tools like Apache Spark, and SQL for efficient data pipeline development.• Managed grading for assignments related to data processing, analytics, and cloud-based solutions, while addressing student inquiries and fostering a deeper understanding of data engineering concepts• Supported classroom activities and group projects, guiding students through the basics of data ingestion, transformation, and analysis using Apache Spark and SQL.Programming.

Flagstaff, Arizona, United States

Flagstaff, Arizona, United States

Chennai, Tamil Nadu, India

•Optimized data pipelines using Databricks on Azure, improving data processing efficiency by 30% through Delta Lake, Z-Order indexing, and partitioning.•Developed and maintained real-time and batch data pipelines using Kafka, Delta Live Tables, and PySpark, ingesting data from Oracle DB and MySQL Server into Azure Data Lake Storage (ADLS) and Azure Synapse Analytics.•Integrated Azure Active Directory (AAD)/Microsoft Entra ID with Databricks for role-based access control (RBAC), ensuring secure authentication and authorization, and improving data access management across distributed teams in compliance with enterprise security.•Applied Medallion Architecture (Bronze, Silver, Gold layers) to structure data pipelines, enhancing data quality, reliability, and scalability.•Managed data in formats such as Parquet, CSV, and JSON, implementing ETL processes and Star Schema models for optimized querying.•Leveraged Databricks Autoloader and Vacuum operations in Delta Lake to manage data storage efficiently, reducing footprint by 20%.•Integrated Azure Key Vault and Databricks Secrets for secure credential handling, boosting system security and compliance.•Designed Spark SQL queries and PySpark jobs to aggregate data, improving query performance by 25% through data partitioning and caching.•Utilized Unity Catalog for centralized data governance, ensuring consistent access control and lineage tracking across teams.•Automated workflows using Databricks Workflows, Azure Data Factory (ADF), and CI/CD pipelines with Git for streamlined deployment.•Actively participated in Agile ceremonies, including daily standups, sprint planning, and retrospectives, ensuring timely delivery of data engineering tasks.•Collaborated with cross-functional teams, including business analysts and data scientists, to gather requirements and deliver optimized data solutions.

Hyderabad, Telangana, India

Master'S Degree, Computer Science, 3.9/4.0

Btech - Bachelor Of Technology, Electrical, Electronics And Communications Engineering, 8.27/10