Data Engineer Azure

Sai Krishna Gattu

PROFESSIONAL SUMMARY

Versatile and results-driven Data Engineer with over 6 years of IT experience, including 2+ years specializing in cloud-native data engineering, ETL/ELT processes, and data integration. Proven track record of building scalable data pipelines, optimizing workflows, and delivering actionable insights across Financial Services, E-commerce, and Insurance domains.

Hands-on experience designing end-to-end data solutions using Azure Data Factory, AWS Glue, Databricks (PySpark), and SQL/Python scripting. Skilled in cloud services (AWS, Azure), relational and NoSQL databases, and reporting tools like Power BI and Tableau. Adept at performance tuning, data modeling, and automation to reduce cost and improve efficiency.

Strong collaborator and communicator, experienced in Agile and DevOps environments, with a passion for clean architecture, data quality, and stakeholder alignment. Known for mentoring junior engineers and leading efforts that drive digital transformation and data maturity.

Proficient in modern data warehousing and batch/streaming ETL patterns, ensuring low-latency delivery of high-volume datasets in production environments.

Experienced in data governance, compliance standards (HIPAA, GDPR), and metadata management to support secure and audit-friendly data operations.

TECHNICAL SKILLS

Databases: MSSQL Server, Oracle 9i/10g, MySQL, Azure SQL DB, AWS RDS, PostgreSQL ETL/ELT Tools: SSIS, Azure Data Factory, Databricks (PySpark), AWS Glue Big Data & Storage: Azure Data Lake, AWS Redshift, Amazon S3, DynamoDB Analytics & Reporting: Power BI, Tableau, SSRS, Crystal Reports Languages: T-SQL, PL/SQL, Python, Java, Shell Scripting Cloud Platforms: AWS (EC2, S3, Redshift, Lambda, RDS), Azure (Data Lake, Databricks) Version Control & DevOps: Git, GitHub, Bitbucket, Jenkins Project Tools: Jira, Confluence, Visual Studio Code