HARIHARA PRASAD REDDY VANCHARLA
Hyderabad
Summary
Data Engineer with 2+ years of expertise in designing and optimizing data pipelines using Azure, ADF, PySpark, and SQL. Strong foundation in ETL workflows, cloud data migration, and data modeling. Adept at ensuring data integrity, improving system reliability, and enabling advanced analytics across Azure and on-premises platforms.
Overview
5
5
years of professional experience
Work History
Data Engineer
Cliff IT Solutions
05.2025 - Current
- Leading Teradata-to-Azure migration using Azure Data Factory (ADF), PySpark, and Medallion Architecture.
- Developed automated ETL workflows and validation checks improving data reliability by 40%.
- Collaborating with analytics teams to build reusable data models for Power BI and ML use cases.
Analyst
Deloitte Consulting
09.2021 - 12.2022
- Performed backend data testing using SQL and Oracle for Charles River Development (CRD).
- Ensured data accuracy and integrity during Microsoft Azure cloud migration.
- Authored SQL scripts automating validation, reducing manual QA effort by 30%.
Summer Intern
JP Morgan
05.2020 - 06.2020
- Developed web-based financial data feeds using Python, SQL, and CSS.
- Built Tableau dashboards to visualize key financial metrics.
- Certified in MySQL Workbench and Tableau for data handling proficiency.
Education
Master of Computer Science -
University of North Carolina At Charlotte
North Carolina, Charlotte12.2024
Bachelor of Engineering - Computer Science
Vasavi College of Engineering
Hyderabad07.2021
Skills
- Azure (ADF, Data Lake, Synapse, Databricks)
- Teradata
- Oracle
- Python (Pandas, PySpark)
- SQL
- Shell Scripting
- ETL
- Data Modeling
- Medallion Architecture
- Data Warehousing
- Power BI
- Tableau
- Git
- Azure DevOps
- JIRA
- VS Code
- Java
- Aws
- Python
- C & C
Projects
Azure Data Lakehouse, Designed ETL pipelines using ADF and PySpark to support real-time analytics, reducing processing time by 35%.
Automated Data Quality Framework, built a Python-based validation system integrated with Azure Monitor to maintain data accuracy.
Customer 360 ETL, Developed metadata-driven ETL pipelines in Azure Synapse for unified customer data analytics.
Accomplishments
- Streamlined and optimized a critical ETL pipeline processing 500 GB of daily customer data, reducing processing time by 40% (from 4 hours to 2.4 hours) and decreasing cloud compute costs by 20% through the implementation of Spark partitioning and resource-efficient data format
Languages
Telugu
First Language
English
Full Professional
Hindi
Full Professional
Spanish
Beginner
A1
Telugu
Native/ Bilingual
Timeline
Data Engineer
Cliff IT Solutions
05.2025 - Current
Analyst
Deloitte Consulting
09.2021 - 12.2022
Summer Intern
JP Morgan
05.2020 - 06.2020
Master of Computer Science -
University of North Carolina At Charlotte
Bachelor of Engineering - Computer Science
Vasavi College of Engineering
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