Summary
Overview
Work History
Education
Skills
Websites
Timeline
Generic

Sachitananda Reddy Alpati

New Haven

Summary

Experienced professional transitioning from Hadoop Developer to Data Engineer. Bringing 2+ years of expertise in Big Data Engineering with transferable skills in distributed data processing, ETL pipeline optimization, and scalable architecture design. Proven ability to architect end-to-end data solutions that improved processing speed and reliability across cloud and on-prem environments, and eager to contribute to Data Engineering with scalable, high-performance data infrastructure that drives enterprise analytics and business intelligence.

Overview

7
7
years of professional experience

Work History

Data Engineer

Merck
New Jersey
08.2025 - Current
  • Designed and developed scalable, high-performance data pipelines for batch and real-time processing across cloud platforms.
  • Optimized data infrastructure for performance, cost efficiency, and reliability, improving data processing speed and reducing latency.
  • Working on design and development of scalable, high-performance data pipelines supporting batch and real-time processing across cloud platforms.
  • Established data governance and monitoring frameworks, ensuring accurate and consistent data across systems.
  • Collaborated with data scientists, analysts, and stakeholders to deliver reliable data products for business intelligence, machine learning, and reporting.

Data Engineer

Accenture
Hyderabad
09.2021 - 06.2023
  • Designed and built scalable data pipelines for ingesting, processing, and transforming large datasets using tools like Spark, Hadoop, and SQL.
  • Optimized ETL workflows to improve data processing speed, reliability, and efficiency across cloud and on-prem environments.
  • Worked with structured and semi-structured data formats (Parquet, Avro, JSON) to enable efficient storage and analytics.
  • Collaborated with data analysts and business teams to deliver high-quality datasets, enhancing reporting, dashboard insights, and machine learning model accuracy.

Hadoop Developer

Cognizant
Hyderabad
06.2019 - 08.2021
  • Designed and developed scalable Big Data solutions with Hadoop ecosystem tools HDFS, Hive, Pig, and MapReduce to enable efficient large-scale data processing.
  • Built and optimized ETL pipelines and Hive queries for structured and unstructured data processing, enhancing overall data handling and query performance.
  • Utilized Spark and Kafka for distributed data processing and real-time ingestion, streamlining data workflows and increasing reliability.

Education

Master's - Business Analytics

University Of New Haven
New Haven
05-2025

Skills

  • Hadoop (HDFS, Hive, Pig, MapReduce), Apache Spark, Apache Kafka, SQL, ETL development, Parquet / Avro / JSON, AWS / Azure / GCP, Data governance, Real-time processing, Business intelligence, Machine learning
  • Big data analysis
  • SQL development
  • Machine learning models
  • Data protection
  • Data pipeline management
  • Data unification
  • SQL scripting

Websites

Timeline

Data Engineer

Merck
08.2025 - Current

Data Engineer

Accenture
09.2021 - 06.2023

Hadoop Developer

Cognizant
06.2019 - 08.2021

Master's - Business Analytics

University Of New Haven
Sachitananda Reddy Alpati
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