Venkat Phani Geeth Bodaballa
Hyderabad
Summary
Innovative Senior Data Engineer with 6+ years of experience in building scalable data pipelines, cloud-based data solutions, and AI-driven automation. Passionate about leveraging AI and cloud technologies to optimize data workflows, enhance efficiency, and drive business insights.
- AI-Powered Data Engineering Assistant Lead: Leading the development of an intelligent AI agent that automates on-prem to cloud migrations, schema discovery, query execution, and real-time AI-driven data assistance.
- Expertise in Google Cloud Platform (GCP), BigQuery, Apache Airflow, API Development, and AI-based query optimization.
- Proficient in Java, Python, SQL, ETL, and Google Cloud Platform Services like DataFlow, Cloud Composer, BigQuery, Cloud Build, PubSub, GCS.
- Skilled in LLMs, Retrieval-Augmented Generation (RAG), Redis caching, and real-time logging to enhance data engineering processes.
- Proven ability to design high-performance ETL pipelines, automate workflows, and optimize database operations in cloud environments.
Overview
7
7
years of professional experience
1
1
Certification
Work History
Senior Data Engineer
AIonOS
09.2024 - Current
- Designed and developed a framework for creating user cohorts in GCP BigQuery based on business requirements.
- Built APIs using Cloud Run, Cloud Functions, and Python to retrieve customer-specific cohort data.
- Developed an interactive interface for clients to interact with the API for seamless data retrieval.
Senior Data Engineer
MassMutual
09.2023 - 09.2024
- Spearheading the design of custom frameworks for optimal data processing, reducing effort in building new data pipelines using Apache Airflow and SQL
- Implementing automated scripts for Impact analysis across SQL scripts and datamart using Airflow and Python, resolving user requests and enhancing SQL queries
- Designed and developed docker image to to reduce preprocessing time and reduce production errors due to python libraries mismatch.
GCP Data Engineer
Fractal Analytics
08.2021 - 09.2023
- Designed real-time frameworks to migrate on-prem IBM Streams to Google Cloud, utilizing Apache Beam Python and Java with Dataflow as a runner
- Created a Java framework for building Dataflow Pipelines, incorporating Design Patterns such as Factory Design Pattern, Singleton Design Pattern, Reflections, and interface implementations, ensuring cloud agnosticism
- Developed custom Dataflow Flex templates for enhanced data processing and management
- Implemented automated mail alerts for deprecated methods in Java projects, enhancing code quality and efficiency
- Led the successful deployment of Dataflow pipelines using Jenkins for CICD, improving pipeline management and efficiency
Programmer Analyst
Cognizant Technology Solutions
04.2018 - 08.2021
- Worked on Agile methodology, clarifying requirements, estimating effort, and enhancing existing code
- Upgraded Spotfire dashboards with new features for improved data visualization and analysis
Education
Bachelor of Technology -
GITAM University
01.2017
Skills
- Cloud Solutions Architecture
- Data Transfer Management
- Real-Time Data Processing
- Data Pipeline Architecture
- Agile Methodology Implementation
- Automation & Framework Design
- Google Cloud Platform, Dataflow,Cloud Composer, BigQuery
- SQL,Python, Java, Shell Scripting
- Jenkins, Docker
- Apache Beam, Apache Airflow,ETL
- Bi Tools(TIBCO Spotfire, PowerBi, Google Data Studio)
- AI-Driven Process Optimization
Certification
- Google Cloud Certified Professional Data Engineer
- Google Cloud Certified Associate Cloud Engineer
- Fractal Certified Data Engineer
- Google Data Analytics Professional Certificate
- Databricks Certified Data Engineer Professional
Languages
English
Telugu
Hindi
Personal Information
Date of Birth: 11/01/95
Additional Information
Personal Project:
AI-powered Data Engineering Assistant (Ongoing)
- Developing an AI-driven data assistant to automate on-prem to cloud migrations, schema discovery, and query execution.
- Utilizing LLMs (Google Gemini) for smart schema mapping and query generation.
- Implementing Retrieval-Augmented Generation (RAG) to improve query accuracy and ensure contextual relevance.
- Designing an interactive chatbot-style UI for real-time data interaction and query assistance.
- Enabling seamless integration with PostgreSQL, BigQuery, and other databases.
- Implementing modular AI agents for database discovery, query optimization, and execution automation.
- Incorporating Redis caching to enhance performance and reduce redundant query generation.
- Establishing real-time logging mechanisms to track query execution and debugging.
- Automating deployment and updates using Docker and CI/CD pipelines.
Timeline
Senior Data Engineer
AIonOS
09.2024 - Current
Senior Data Engineer
MassMutual
09.2023 - 09.2024
GCP Data Engineer
Fractal Analytics
08.2021 - 09.2023
Programmer Analyst
Cognizant Technology Solutions
04.2018 - 08.2021
Bachelor of Technology -
GITAM University
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