Summary
Overview
Work History
Education
Skills
Timeline
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Srinija Jannapureddy

Overland Park,KS

Summary

Data Engineer with over 3 years of experience in designing, building, and optimizing data pipelines, ETL processes, and data warehousing solutions. Skilled in developing scalable and efficient data architectures to support business intelligence and analytics initiatives. Proficient in SQL, Python, Spark, and cloud platforms (AWS, Azure, GCP), with expertise in handling large-scale datasets and ensuring data integrity. Strong background in database management, performance tuning, and automation of data workflows. Adept at collaborating with cross-functional teams to deliver high-quality, data-driven solutions that enhance decision-making, and operational efficiency.

Overview

3
3
years of professional experience

Work History

Data Engineer

Wipro Limited
Hyderabad, Telangana
04.2020 - 04.2023
  • Design, develop, and maintain scalable data pipelines and ETL processes for ingesting, transforming, and storing structured and unstructured data.
  • Optimize database performance and ensure efficient query execution by implementing indexing, partitioning, and caching strategies.
  • Build and manage data models in data warehouses (Snowflake, Redshift, BigQuery) to support business intelligence and analytics.
  • Develop and deploy data solutions using Python, SQL, Spark, or other big data technologies to process large datasets efficiently.
  • Implement data governance policies to ensure data integrity, security, and compliance with industry standards.
  • Work with cloud platforms (AWS, Azure, GCP) to manage data lakes, storage solutions, and infrastructure as code (Terraform, CloudFormation).
  • Collaborate with data analysts and scientists to provide reliable, well-structured data for machine learning and reporting.
  • Automate data workflows and monitoring systems to improve data availability, reliability, and performance.
  • Troubleshoot data issues, and optimize existing pipelines to reduce latency and improve processing efficiency.
  • Ensure real-time and batch data processing meets business needs and supports decision-making.

Education

Master of Science - Cyber Security

University of Central Missouri
Warrensburg, MO
12-2024

Skills

Programming Languages: Python, SQL

Data Engineering Tools: PySpark, Snowflake

Apache Airflow

Big Data Technologies: Databricks

Cloud Platforms: AWS, GCP, Azure (Basic)

Knowledge

Database Management: MySQL, PostgreSQL

Version Control & CI/CD: Git, JIRA

Data Quality & Testing: Unit Testing, Data

Validation

Workflow Orchestration: Apache Airflow

Timeline

Data Engineer

Wipro Limited
04.2020 - 04.2023

Master of Science - Cyber Security

University of Central Missouri

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Srinija Jannapureddy