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Overview
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Hari Sai Ramisetti

Cloud Data Engineer
Guntur

Summary

Detail-oriented Data Engineer designs, develops and maintains highly scalable, secure and reliable data structures. Accustomed to working closely with system architects, software architects and design analysts to understand business or industry requirements to develop comprehensive data models. Proficient at developing database architectural strategies at the modeling, design and implementation stages.

Overview

3
3
years of professional experience
4
4
years of post-secondary education

Work History

Software Engineer

Carelon Global Solutions
09.2020 - 12.2023
  • Created and implemented automated S3 life cycle rules resulting in deletion of petabytes of data annually, saving $1.2M in storage costs.
  • Implemented thread-based optimization for data transfers between S3 buckets using AWS EMR clusters, increasing efficiency and reducing three days of work to less than 90 minutes and saving 10k$ Annually.
  • Implemented data management system that leverages automation tool to track dependencies between tables, resulting in 90% reduction in data inconsistencies across modules.
  • Developed innovative environment automation tool that streamlined table DDL creation, extraction, and comparison between schemas using multi-threading, resulting in reduction of lot of manual effort annually..
  • Created advanced error-handling system within environment automation tool that identified and resolved issues with data integrity. Reduced data corruption incidents by 75% resulting in increased client satisfaction.

Associate Software Engineer

Carelon Global Solutions
09.2020 - 04.2022
  • Developed partitioned Hive external tables maintained in AWS S3 location for reporting, data science dashboards, and ad hoc analyses using PySpark,Scala, and Spark
  • Utilized PySpark, Scala, and Spark to develop scripts for data aggregation,queries, and writing data back into OLTP system .
  • Designed Quality Analysis Tool using Python to automate table validations,reducing manual effort by 70% while increasing user trust in reliability of our data.
  • Implemented partitioning and bucketing techniques on Hive tables to optimize data retrieval process, resulting in 40% increase in query performance.
  • Implemented ETL processes that load data from multiple sources into cloud-based databases resulting in 35% increase in data accuracy.

Education

B.Tech Computer Science - Computer Science

Vignan's University
Guntur
06.2016 - 06.2020

Skills

Python

SQL

AWSSnowflake

Big Data

Hive

Spark

Work Availability

monday
tuesday
wednesday
thursday
friday
saturday
sunday
morning
afternoon
evening
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Quote

Judge a man by his questions rather than his answers.
Voltaire

Timeline

Software Engineer

Carelon Global Solutions
09.2020 - 12.2023

Associate Software Engineer

Carelon Global Solutions
09.2020 - 04.2022

B.Tech Computer Science - Computer Science

Vignan's University
06.2016 - 06.2020
Hari Sai RamisettiCloud Data Engineer