VISHNU VASIREDDY
Hyderabad
Summary
Data Engineer with hands-on experience in building scalable ETL pipelines, data warehousing, and visualization using Azure, Databricks, and Tableau. Proficient in Python, SQL, and cloud technologies with a strong foundation in data modeling, performance optimization, and business analytics.
Overview
6
6
years of professional experience
Work History
Jr Data Engineer
ANJS
05.2024 - 08.2025
- Developed and maintained data pipelines using Azure Data Factory (ADF) for seamless ingestion and transformation of data.
- Utilized Databricks (PySpark & SQL) for large-scale data processing, cleaning, and integration.
- Provided technical support and troubleshooting for database, ETL workflows, and pipeline issues, ensuring smooth data operations
Assistant Systems Engineer
Tata Consultancy and Services
12.2020 - 06.2022
- Enhanced HR analytics efficiency by employing advanced SQL techniques, including Window functions, CTEs, and self-joins, reducing data retrieval time significantly.
- Designed and developed interactive Tableau dashboards. Architected a star schema for data warehousing and implemented SCD2 tables, ensuring accurate historical employee data for robust HR analytics.
- Used the Data Integration tool called Talend and created, scheduled and generated the ETL operations.
- Project: HR Data Lake
INTERN
VALUE MOMENTUM
Hyderabad
05.2019 - 06.2019
- Supported software engineering Java-based projects in an Agile work environment.
- Engaged in Software development utilizing a wide range of Java packages.
- Worked on file handling and string handling functions in Java.
Education
Master of Science - Data Analytics Engineering
George Mason University
05.2024
Bachelor of Technology - Computer Science
GITAM University
05.2020
Skills
- C
- C
- Python
- Java
- HTML
- CSS
- JavaScript
- SpringBoot
- ORACLE
- PostgreSQL
- MYSQL
- MongoDB
- Tableau
- Databrics
- Talend
- Docker
- Git
- AWS
- Azure
Projects
Medallion Architecture project
Built and orchestrated ETL pipelines using Azure Data Factory (ADF) to automate raw data ingestion from REST APIs into Azure Data Lake Storage Gen2 (ADLS) following Medallion Architecture.
Performed scalable data transformation, cleansing, and enrichment with Azure Databricks (PySpark & SQL), enabling reliable Silver layer datasets.
Designed aggregated and business-ready data models using Azure Synapse Analytics (Serverless SQL Pools) and stored curated outputs in Parquet format within the Gold layer.
Integrated the Gold layer with Power BI to deliver interactive dashboards and actionable insights for business stakeholders.
Big Data Analysis on NYC Civil List
This project involved the NYC Civil dataset and utilized advanced data technologies. I developed a scalable system architecture on Azure VM-using Docker for containerization.
Supervised storage and integration using Postgres and MongoDB, leveraging PySpark for efficient data processing and Parquet conversion. Conducted exploratory data analysis, visualized results, and performed cluster analysis for valuable insights.
Bookstore Management System
Developed a Bookstore Management System using Java and Spring Boot to manage orders, customer info, and inventories Implemented role-based CRUD operations and rate-limited REST APIs, reducing server load by 30% during peak hours and ensuring equitable resource distribution.
Enhanced data integrity and error handling with Hibernate Validator. Implemented Swagger for auto-generated API documentation, boosting development speed by 20%, and ensuring consistent, scalable operations
Activities
- Attained a Silver badge in Data structures and algorithms from smartinterviews.
- Secured a certificate in Simplilearn for the successful completion of the Tableau course.
Timeline
Jr Data Engineer
ANJS
05.2024 - 08.2025
Assistant Systems Engineer
Tata Consultancy and Services
12.2020 - 06.2022
INTERN
VALUE MOMENTUM
05.2019 - 06.2019
Master of Science - Data Analytics Engineering
George Mason University
Bachelor of Technology - Computer Science
GITAM University