Summary
Overview
Work History
Education
Skills
Websites
Timeline
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Niranjan Martha

New London,CT

Summary

  • Experienced Data Engineer with a strong academic background in Data Science and Renewable Energy Technology, complemented by a Bachelor's in Mechanical Engineering. Adept at leveraging coding skills and domain knowledge to develop innovative data solutions that drive organizational efficiency and decision-making.
  • Proficient in the complete Software Development Life Cycle (SDLC), with over 3 years of hands-on experience in designing, developing, and maintaining data systems and solutions. Experienced in Agile methodologies, actively participating in daily scrum meetings and collaborating within cross-functional teams.
  • Deep expertise in cloud technologies, particularly AWS (AWS S3, EC2) and Google Cloud Platform (GCP), with experience deploying scalable applications and utilizing serverless computing with AWS Lambda.
  • Skilled in designing and implementing Enterprise Data Warehouses and Data Warehouse appliances using methodologies like Kimball and Inman approaches. Strong understanding of data modeling tools such as Erwin, Power Designer, and ER Studio to optimize data architecture and storage.
  • Proficient in stream processing platforms like Kafka and Flume for efficient data ingestion and processing, enhancing data availability and real-time analytics capabilities.
  • Hands-on experience with Big Data tools including Hadoop, HDFS, Hive, BigQuery, Pub/Sub, Dataproc, and Dataflow, enabling large-scale data analytics and processing.
  • Experienced in implementing Infrastructure as Code (IaC) using Terraform, managing Kubernetes clusters for containerized deployments, and automating CI/CD pipelines with Jenkins for efficient software delivery.
  • Strong background in data migration, cleansing, transformation, integration, import, and export, ensuring data quality and consistency across systems.
  • Exceptional problem-solving skills with a focus on designing optimized OLTP systems for transactional efficiency and dimensional modeling for OLAP analytics.
  • Proven ability to lead and contribute to complex data projects, fostering innovation and delivering solutions that meet business objectives and improve operational processes.

Overview

3
3
years of professional experience

Work History

AWS Data Engineer Intern

Zoho Tech
12.2022 - 06.2023
  • Reduced system downtime by 20% through proactive monitoring and timely troubleshooting of data pipelines.
  • Enabled real-time analytics capabilities by designing streaming data pipelines using Amazon Kinesis or Apache Kafka.
  • Reduced costs by automating manual processes using AWS Lambda functions.
  • Accelerated time-to-market for new products with agile methodologies in developing end-to-end data engineering solutions.
  • Collaborated with cross-functional teams to ensure seamless integration of new data engineering solutions.
  • Streamlined data storage and retrieval with the design of efficient data models.
  • Facilitated better decision-making with advanced analytical tools like Amazon Redshift or EMR for business intelligence insights.
  • Improved data processing efficiency by 50% by developing custom ETL processes tailored to specific business needs.
  • Integrated machine learning models into existing workflows to enhance predictive analysis capabilities.

Data Engineer

Azure Power
08.2021 - 10.2022
  • Ensured 99.9% data integrity across ETL processes, collaborating with team members to verify pipeline stability and adherence to data governance standards.
  • .Fine-tuned query performance and optimized database structures for faster, more accurate data retrieval and reporting.
  • Enhanced data quality by performing thorough cleaning, validation, and transformation tasks.
  • Simplified workflows by breaking down complex processes into modular components, reducing implementation time by 30% and facilitating easier maintenance and scalability.
  • Optimized data processing by implementing efficient ETL pipelines and streamlining database design.
  • Developed custom algorithms for advanced analytics, driving actionable insights from large datasets.

Business Data Analyst

ValueCoders
04.2020 - 09.2020
  • Achieved a 98% increase in data accuracy by implementing rigorous data validation and cleansing processes, reducing data errors and ensuring reliable datasets for analysis.
  • Built relationships and influenced and motivated employees to drive operational improvements.
  • Standardized data collection procedures across departments, ensuring consistent data quality and enabling seamless integration of new datasets.
  • Streamlined reporting processes for enhanced decision-making and business insights.
  • Developed and improved integrated reporting and analysis capabilities.
  • Conducted cost-benefit analyses on proposed projects or investments, informing resource allocation decisions at the organizational level.
  • Reduced report generation time significantly by optimizing SQL queries and restructuring existing databases.
  • Deployed machine learning models that increased customer acquisition by 25% through targeted marketing strategies based on predictive analytics.

Education

Master of Science - Data Science

University of New Haven
West Haven, CT
07.2025

Mater of Technology - Renewable Energy

National Institute of Technology
Sichar

Bachelor of Technology - Mechanical Engineering Technology

GRIET
Hyderabad

Skills

  • C programming and data structures
  • Python
  • SQL & Oracle
  • Microsoft Office Tools
  • AutoCAD Design tool
  • Comsol multiphysics Simulation
  • SCAPS Simulation
  • AWS Services
  • Big Data Processing
  • Kafka
  • Spark

Timeline

AWS Data Engineer Intern

Zoho Tech
12.2022 - 06.2023

Data Engineer

Azure Power
08.2021 - 10.2022

Business Data Analyst

ValueCoders
04.2020 - 09.2020

Master of Science - Data Science

University of New Haven

Mater of Technology - Renewable Energy

National Institute of Technology

Bachelor of Technology - Mechanical Engineering Technology

GRIET
Niranjan Martha