Summary
Overview
Work History
Education
Skills
Additional Information
Projects
Languages
Timeline
Generic
Bharath Regula

Bharath Regula

Hyderabad

Summary

Results-driven Azure AI Data Engineer with 5+ years of experience in designing, developing, and deploying scalable data solutions on cloud platforms. Proficient in Python, SQL, and advanced Azure services, with hands-on expertise in GenAI technologies including LangChain, LlamaIndex, and Azure OpenAI. Adept at building robust data pipelines.

Overview

6
6
years of professional experience

Work History

Azure AI Data Engineer

Deloitte
Hyderabad
05.2022 - Current
  • Developed and maintained ETL pipelines using Python, SQL, and PySpark to process large-scale datasets.
  • Designed data workflows in Azure Data Factory (ADF) to automate data ingestion and transformation.
  • Built scalable data models and analytics solutions in Databricks.
  • Collaborated with cross-functional teams to define data requirements, and deliver actionable insights.
  • Optimized SQL queries and data storage for performance and cost efficiency.
  • Integrated GenAI solutions using LangChain and LlamaIndex to automate document processing and semantic search across enterprise datasets
  • Utilized Azure OpenAI services to implement Retrieval-Augmented Generation (RAG) methods, leveraging LangChain and LlamaIndex frameworks for enhanced information retrieval and response generation
  • Integrated MLflow to evaluate LLM results against ground truth and tracked all results using the MLflow UI

Junior Data Engineer

TCS
Hyderabad
02.2020 - 05.2022
  • Assisted in building data pipelines and integrating data from multiple sources using PubSub and DataFlow.
  • Supported data analysis and reporting tasks using SQL and BigQuery.
  • Participated in code reviews and contributed to process improvements.

Education

B-Tech - Automobile engineering

Bharath University
Chennai
07-2019

Skills

  • Programming Languages: Python, SQL
  • Big Data Technologies: PySpark, Databricks
  • AI Tools: llama index, Lang chain and MLFlow
  • Cloud Platforms: Azure, GCP
  • Data Warehousing : Google Big Query
  • ETL Tool: Azure Data Factory
  • Other Tools: Git, Jupiter Notebooks
  • Visualization: Tableau

Additional Information

  • Strong problem-solving and analytical skills
  • Excellent communication and teamwork abilities

Projects

Data Pipeline Implementation, Document Analysis and Evaluation

  • Designed and implemented a data ingestion pipeline using Databricks and PySpark, efficiently integrating data into Azure Blob Storage.
  • Orchestrated data movement and transformation by leveraging Azure Data Factory (ADF) pipelines, writing processed data into a SQL database with all necessary transformations applied.
  • Developed optimized database views to support Tableau visualizations, enabling enhanced business insights and interactive reporting.
  • Implemented document analysis leveraging Llama Index RAG architecture with Azure OpenAI.
  • Tracked and evaluated model performance using MLflow, ensuring transparency and continuous improvement of results

Languages

Telugu
First Language
English
Advanced (C1)
C1

Timeline

Azure AI Data Engineer

Deloitte
05.2022 - Current

Junior Data Engineer

TCS
02.2020 - 05.2022

B-Tech - Automobile engineering

Bharath University
Bharath Regula