Aranyak Panigrahi

Data Engineer

Hyderabad, Telangana, India4 yrs 11 mos experience
Highly Stable

Key Highlights

  • Expert in designing and optimizing data pipelines.
  • Proven ability to deliver impactful data solutions.
  • Strong experience in full stack development with modern frameworks.
Stackforce AI infers this person is a Data Engineer specializing in Healthcare data solutions and Full Stack Development.

Contact

LinkedIn

Skills

Core Skills

Data EngineeringFull Stack Development

Other Skills

API DevelopmentAWS GlueAWS LambdaAWS S3AirflowAlgorithmsAmazon Simple Notification Service (SNS)AngularApache HiveAzure DatabricksBack-End Web DevelopmentC (Programming Language)C++CA Workload AutomationCSS

About

Welcome to my LinkedIn profile! I am a Data Engineer at TCS with 3 years of experience and am passionate about Data Engineering and Software Development. With expertise in designing and optimizing data pipelines, transforming complex datasets into actionable solutions that empower decision-making. I thrive in collaborative environments where I can apply my technical skills to tackle challenges and deliver impactful results. In my role as a Data Engineer, I've had the opportunity to contribute to a variety of projects spanning Data Warehouse, Data Ingestion and Analytics and Full Stack development. Leveraging technologies such as Hadoop, HDFS, Airflow, Spark, PySpark, Hive, Angular2+, Python, Django, and Teradata. I've successfully designed and implemented scalable solutions to address complex data challenges. In my spare time, I'm passionate about expanding my knowledge in Data Engineering field. Profile Links - Github - https://github.com/aranyak1 Leetcode - https://leetcode.com/aranyakpanigrahi13/

Experience

4 yrs 11 mos
Total Experience
3 yrs 2 mos
Average Tenure
1 yr 9 mos
Current Experience

Bristol myers squibb

Data Engineer

Sep 2024 – Present · 1 yr 9 mos · Hyderabad, Telangana, India · On-site

Tata consultancy services

Data Engineer

Jul 2021 – Sep 2024 · 3 yrs 2 mos · Hyderabad, Telangana, India · On-site

  • Working with a U.S based healthcare company
  • Data Warehouse Project
  • Developed scalable data pipelines using AWS S3, Glue, Python and Teradata for processing large data volumes.
  • Implemented event-based triggers in Airflow, reducing job execution time by 40% and failure rate by 20%.
  • Implemented special character handling mechanism, achieving a 100% reduction in job failures.
  • Developed unit test cases and created mapping documents for source-to-target dataset relationships.
  • This Warehouse powers multiple Dashboards, ML Models and Management Reports.
  • Data Analytics and Ingestion Project
  • Ingested data from various databases like Oracle,Mysql,DB2 to Hadoop using Sqoop.
  • Utilized Apache Hive, PySpark and SparkSQL for data processing, analysis and generating reports.
  • Automated and scheduled end-to-end data pipelines using CA Workload Automation.
  • Transferred data from Hadoop to Windows NFS,subsequently used by other teams for advanced analytics.
  • Insurance Claims Tracking Dashboard
  • A web app designed to enable stakeholders to seamlessly update and monitor claims-related data.
  • Developed multiple Django APIs, utilizing SQL queries to execute CRUD operations on the database.
  • Designed and implemented the frontend of the application using Angular, HTML and CSS.
  • Features include data tables, filtering, pagination, export functionality and data validation.
  • Successfully delivered the Dashboard, achieving a 90% improvement over existing process.
AWS S3AWS GluePythonTeradataAirflowSqoop+10

Education

GITAM Deemed University

Bachelor of Technology - BTech — CSE

Jan 2017 – Jan 2021

Kendriya Vidyalaya

Jan 2015 – Jan 2017

Aranyak Panigrahi - Data Engineer | Stackforce