RAMANA REDDY GOGIREDDY
Hyderabad
Summary
Data engineering professional with 14 years of experience leading ETL development and data integration on big data stacks. Hands-on with Spark, PySpark, Azure Databricks, Python, Hadoop, HDFS, Hive, and Spark SQL. Develops data extraction, transformation, and loading processes to improve data quality and consistency. Collaborates with Data Science for AI/ML initiatives through feature-ready datasets and validated pipelines.
Overview
14
14
years of professional experience
Work History
Senior Data Engineer
Persistent
hyderabad
04.2026 - Current
- Improved data integration processes through design of data pipelines in PySpark and Azure Databricks.
- Streamlined ETL workflow automation across cloud and on-premise environments.
- Enabled centralized data movement and transformation through ETL scripts for multiple sources.
- Advanced cloud modernization through migration of on-premise project to Azure cloud systems.
- Delivered reliable databases for reporting and analysis with strong performance support.
Senior Data Engineer
State Street Services Ltd
02.2024 - 03.2026
- Developed Python scripts for data ingestion and transformation into Azure Data Lake Storage Gen2, streamlining data availability.
- Designed data pipelines in PySpark and Azure Databricks for efficient data integration.
- Developed ETL processes using industry-standard tools for data transformation.
- Executed end-to-end processing of diverse business data using PXO framework, improving analytics capabilities.
- Partnered with BI teams to design and implement interactive dashboards, improving data accessibility for stakeholders.
- Created dashboards that enabled State Street business to leverage data insights for improved decision-making.
Assistant Consultant
Tata Consultancy Services Ltd
03.2019 - 01.2024
- Established HULC as primary repository for customer data from Bank of America, improving data accessibility for multiple business lines.
- Implemented ETL processes with industry-standard tools to improve data flow efficiency.
- Created data pipelines using Hive, HDFS, Spark, Pyspark, Python, and Autosys, enhancing efficiency of data processing workflows.
- Optimized database performance with advanced query optimization techniques, improving response times for data retrieval.
- Applied business logic to store processed data efficiently in HDFS HULC.
- Monitored customer data consistently to ensure accuracy and reliability.
Data Engineer
Verizon Data Services Ltd
07.2012 - 03.2019
- Migrated SQL database projects to on-premises Hadoop environment to improve data processing capabilities.
- Managed data with Hadoop HDFS, Hive, Sqoop, SQL, and SSIS ETL tools, improving data accessibility for analysis.
- Transformed daily OMNI data into actionable metrics for in-depth analysis.
- Facilitated data-driven decision-making by visualizing metrics, supporting strategic initiatives.
- Developed key performance indicators presented in scorecards for directors and clients.
Education
Bachelor of Technology - computer science and engineering
JNTU
04.2010
Skills
- Spark
- Hadoop HDFS
- Hive
- Pyspark
- Spark SQL
- Python
- Azure Databricks
- Autosys
- MSBI (SSIS)
- GIT
- AI/ML Collaboration (Data Preparation & Exposure)
- SQL database management
Timeline
Senior Data Engineer
Persistent
04.2026 - Current
Senior Data Engineer
State Street Services Ltd
02.2024 - 03.2026
Assistant Consultant
Tata Consultancy Services Ltd
03.2019 - 01.2024
Data Engineer
Verizon Data Services Ltd
07.2012 - 03.2019
Bachelor of Technology - computer science and engineering
JNTU