RamaChandrudu Silaparasetty profile photo 1 on Tal

RamaChandrudu Silaparasetty

Data Engineer | SQL · PySpark /Apache Spark · Hadoop-Hive |ETL/Data Pipelines

Greater Hyderabad Area

3+ years of work experience

TATA Consultancy Services (TCS)
Jul 20262 moPresent

Hyderabad

Tata Consultancy Services (TCS) Data Engineer | [july 2026] – Present - Supporting data processing and ETL workflows using SQL, PySpark, and Databricks. - Performing data transformation, validation, and source-to-target reconciliation. - Assisting with troubleshooting of data processing jobs and resolving data-related issues.
Revolut
Jan 20264 moMay 2026

Virtual

• Processed and transformed large-scale transaction datasets in a high-volume fintech environment by developing Hive queries and performing source-to-target reconciliation, ensuring data accuracy and compliance with business reporting requirements across operational analytics pipelines. • Investigated and resolved production-level data issues by performing business rule validation, data quality checks, and cross-team collaboration with engineering teams, reducing data discrepancies and ensuring integrity of transaction reporting datasets. • Contributed to data ingestion pipeline onboarding and Hive table maintenance by validating new datasets, optimizing query performance, and supporting metadata management activities within the Hadoop ecosystem.
Amazon
Mar 20232 y 10 moJan 2026

Bangalore

• Analyzed and optimized large-scale supply chain datasets by developing complex SQL queries for data extraction, validation, and reconciliation across multiple systems, improving reporting accuracy and reducing data discrepancy resolution time for business-critical decision-making workflows. • Supported end-to-end ETL pipeline operations within the Hadoop ecosystem (Hive, HDFS, Sqoop, Spark) by performing schema updates, partition management, and data quality checks, ensuring reliable and accurate data movement across operational reporting pipelines. • Collaborated with business and engineering teams to onboard new datasets and resolve data quality issues through structured root cause analysis, directly contributing to improved data pipeline efficiency and faster turnaround on operational reporting deliverables.
GitHub
@Ramachandrudu-Silaparasetty
LeetCode
@rammsd

RamaChandrudu’s AI Stack

claude code
claude code
gemini
gemini

Education

Dr.Lankapalli Bullayya College

Master of Computer Applications - MCA, Computer Science

Dr.Lankapalli Bullayya College

20212 yrs2023

Bachelor of science, Computer Science

Sri Basara Degree college

20183 yrs2021

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Headline

Data Engineer | SQL · PySpark /Apache Spark · Hadoop-Hive |ETL/Data Pipelines

About

As a System Engineer at Tata Consultancy Services (TCS) since August 2026, I am leveraging my expertise in data engineering to contribute to enterprise-level solutions. My academic foundation includes a Master of Computer Applications (MCA) in Computer Science from Dr. Lankapalli Bullayya College, completed in July 2023, which has been instrumental in shaping my technical acumen. My recent roles at Revolut and Amazon allowed me to work extensively with large-scale datasets, developing Hive queries, optimizing ETL pipelines, and performing data quality checks. Skilled in tools like PySpark, Apache Spark, Hive, and HDFS, I am passionate about building scalable data workflows and delivering actionable insights while continuing to develop my technical expertise.

Location

Greater Hyderabad Area

AI stack

claude code

gemini

Work experience

Big data engineer at TATA Consultancy Services (TCS), Jul 2026 - Present · 2 mo, Hyderabad, Tata Consultancy Services (TCS) Data Engineer | [july 2026] – Present - Supporting data processing and ETL workflows using SQL, PySpark, and Databricks. - Performing data transformation, validation, and source-to-target reconciliation. - Assisting with troubleshooting of data processing jobs and resolving data-related issues.

Data engineer at Revolut, Jan 2026 - May 2026 · 4 mo, Virtual, • Processed and transformed large-scale transaction datasets in a high-volume fintech environment by developing Hive queries and performing source-to-target reconciliation, ensuring data accuracy and compliance with business reporting requirements across operational analytics pipelines. • Investigated and resolved production-level data issues by performing business rule validation, data quality checks, and cross-team collaboration with engineering teams, reducing data discrepancies and ensuring integrity of transaction reporting datasets. • Contributed to data ingestion pipeline onboarding and Hive table maintenance by validating new datasets, optimizing query performance, and supporting metadata management activities within the Hadoop ecosystem.

Ml data associate ( data engineer) at Amazon, Mar 2023 - Jan 2026 · 2 y 10 mo, Bangalore, • Analyzed and optimized large-scale supply chain datasets by developing complex SQL queries for data extraction, validation, and reconciliation across multiple systems, improving reporting accuracy and reducing data discrepancy resolution time for business-critical decision-making workflows. • Supported end-to-end ETL pipeline operations within the Hadoop ecosystem (Hive, HDFS, Sqoop, Spark) by performing schema updates, partition management, and data quality checks, ensuring reliable and accurate data movement across operational reporting pipelines. • Collaborated with business and engineering teams to onboard new datasets and resolve data quality issues through structured root cause analysis, directly contributing to improved data pipeline efficiency and faster turnaround on operational reporting deliverables.

Education

Master of Computer Applications - MCA, Computer Science, Dr.Lankapalli Bullayya College

Bachelor of science, Computer Science, Sri Basara Degree college

Public links

github: https://github.com/Ramachandrudu-Silaparasetty

leetcode: https://leetcode.com/rammsd