Ramireddy Divyanadha Reddy
Professional Summary
Senior Azure Data Engineer with 4 years of experience designing and delivering Azure lakehouse and enterprise analytics solutions. Strong hands-on experience with Azure Data Factory and Azure Databricks for building reliable ETL/ELT pipelines and PySpark-based transformations. Proficient in ADLS Gen2 and Delta Lake implementations and in applying Medallion Architecture and data modeling to improve dataset reuse and maintainability. Skilled with Azure Synapse Analytics and SQL for analytical store design and query performance tuning, and with Power BI and OneLake for operational reporting. Experienced delivering end-to-end data platforms, implementing data quality checks in Python, and collaborating with stakeholders to produce production-ready analytics and dashboards.
Technical Skills
Work Experience
- Designed lakehouse architecture on ADLS Gen2 using Delta Lake to centralize raw, curated, and serving layers for analytics workloads.
- Implemented ETL/ELT orchestration using Azure Data Factory to ingest batch and incremental feeds into staging zones and trigger downstream jobs.
- Developed PySpark transformation jobs in Azure Databricks to perform data cleansing, enrichment, and schema evolution for analytics consumption.
- Modeled dimensional schemas and instituted Medallion Architecture patterns to improve dataset lineage, reusability, and maintainability for reporting teams.
- Optimized SQL and Synapse data structures by refactoring views and partition strategies to improve analytical query patterns for BI consumers.
- Built Power BI datasets and reports consuming Synapse/OneLake sources to deliver operational dashboards and ad-hoc analysis capabilities to business stakeholders.
- Automated data validation and data quality checks within Databricks notebooks using Python to enforce pipeline reliability and detect anomalies early.
Education
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