Summary
Overview
Work History
Education
Skills
KEY ACHIEVEMENTS
ADDITIONAL STRENGTHS
Timeline
Generic
ANUDEEP MANCHALA

ANUDEEP MANCHALA

Azure Data Engineer | SQL | Databricks | Power BI
Hyderabad

Summary

Data Engineer with 3+ years of experience in SQL development and data engineering. Hands-on experience in building ETL pipelines, optimizing queries, and working with Azure tools such as Data Factory and Databricks. Strong exposure to financial datasets, data validation, and reporting solutions using Power BI. Experienced in production support, deployment automation, and improving data processing workflows.

Overview

3
3
years of professional experience

Work History

Data Engineer / SQL Developer

Covascent Technologies (formerly Dcube Data Sciences LLP)
Hyderabad
12.2022 - Current
  • Designed and maintained ETL pipelines using SQL and Azure Data Factory for processing financial data.
  • Optimized complex SQL queries, joins, and stored procedures to improve performance and reduce execution time.
  • Worked on migration of SQL workflows to Azure and Databricks (PySpark) for improved scalability.
  • Handled large financial datasets for reporting, validation, and business insights.
  • Automated database deployments using DACPAC and Azure DevOps pipelines.
  • Developed Power BI dashboards for reporting and analytics.
  • Implemented validation checks for fraud detection use cases.
  • Collaborated with cross-functional teams to ensure smooth deployments and data quality.
  • Provided production support by troubleshooting issues and improving query performance.

Education

Bachelor of Science - Computer Science Engineering

MVJ College of Engineering
Bangalore
08-2022

Skills

Azure: Data Factory, Databricks

SQL: Query Writing, Joins, Performance Tuning

ETL: Pipeline Development, Data Processing

Data pipeline design

Data modeling

Power BI Devloper

ETL: Pipeline Development, Data Processing

KEY ACHIEVEMENTS

  • Improved SQL query performance through tuning and indexing techniques.
  • Contributed to migration of data workflows to Azure.
  • Automated deployment processes reducing manual effort.
  • Supported improvements in reporting through optimized datasets.

ADDITIONAL STRENGTHS

  • Experience working with financial domain data
  • Strong understanding of data validation and reporting workflows
  • Problem-solving in production environments
  • Ability to collaborate with cross-functional teams

Timeline

Data Engineer / SQL Developer

Covascent Technologies (formerly Dcube Data Sciences LLP)
12.2022 - Current

Bachelor of Science - Computer Science Engineering

MVJ College of Engineering
ANUDEEP MANCHALAAzure Data Engineer | SQL | Databricks | Power BI