Summary
Overview
Work History
Education
Skills
Timeline
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Eknath Vamsi punna

Pleasanton,CA

Summary

A detail oriented and versatile Software Engineer with 3 years experience in leveraging cloud technologies (Azure, AWS, GCP), data engineering tools (Hadoop, Spark, Kafka), and programming languages (Python, SQL). Proficient in end-to-end data processing, from ETL to analytics and machine learning, with a strong foundation in data privacy, quality, and governance. Demonstrates a strong capability in AI applications, data visualization, and cross-functional collaboration to drive data-driven decisions and innovations.

Overview

4
4
years of professional experience

Work History

Software Engineer

GROWME
CA
06.2023 - Current
  • Collaborated with cross-functional teams to identify and collect data from diverse datasets related to college applications and orchestrated (ETL) it using Azure Data Factory pipelines and stored in a data warehouse at Azure Data Lake Storage GEN2
  • Developed and maintained optimized ADF pipelines by reducing ingestion time by 25%
  • Utilized Python (Pandas, NumPy), SQL for the Data Quality, Data Mining/analysis, and Data wrangling
  • Leveraged the power of Apache Spark in Azure Data bricks for distributed computing and for data transformation tasks to perform complex analytics on course offerings and professor ratings
  • Implemented a resume maker and college recommendation project at GrowMe to optimize resume building processes and career advancement, leveraging advanced AI and cloud technologies
  • Utilized LLMs, Open AI, Chatbots, and Microsoft Azure services (ADF, Azure ML, Databricks, Synapse, Pinecone) to develop and deploy the solution
  • Achieved significant improvements in admission acceptance rate, reducing the time for matching candidates to internship openings, summer immersion programs from weeks to days, thereby enhancing customer service and placement rates
  • Pioneered the use of vector databases and AI models to automate and refine the process of resume matching and college application, demonstrating a novel application of technology in the industry of educational services
  • Collaborated with cross-functional teams for the integration and deployment solution on Azure, ensuring scalability and security.

Data Engineer

Solution Ladders
05.2022 - 05.2023
  • Designed, built, and maintained scalable data pipelines for efficient data extraction, transformation, and loading (ETL) processes
  • Worked with Big Data technologies such as Hadoop, Spark, Kafka, and Hive for processing and analyzing large datasets
  • Employed Azure Data Factory pipelines for data orchestration and stored in Azure Data Lake Storage GEN2
  • Crafted insightful dashboards using Tableau, leveraging enriched data to facilitate stakeholders' comprehension of data behavior
  • Implemented data governance policies and security measures to protect sensitive data and ensure compliance with regulations
  • Utilized cloud platforms like AWS, or GCP for building and managing data infrastructure in a cloud environment
  • Leveraged the capabilities of Spark within Azure Databricks for distributed computing, facilitating intricate data transformations for robust analytics on both course offerings and professor ratings.

Data Engineer

Intex Technologies
10.2020 - 06.2021
  • As a Junior Data engineer, proactively participated in the monitoring and optimization of ETL performance, undertaking tasks such as database tuning, query optimization, and performance enhancements for ETL workflows
  • Contributed significantly to data definitions, data storage infrastructure enhancement, and data mining architectures, promoting a data-centric approach to decision-making
  • Worked closely with cross-functional teams, including software developers, testers, and product managers, to understand project requirements and deliver software solutions that met or exceeded expectations.

Machine Learning Intern

Internshala
04.2020 - 08.2020
  • Prepared training and testing data which is scraped using beautiful soup for Machine Learning team and then applied feature scaling and ML algorithms to it to build an ML model on the given housing data
  • This improved the accuracy by 18%.

Education

Master of Science - Data Science

University of The Pacific
San Francisco, CA
05-2024

Skills

Cloud Technologies: Azure, AWS, GCP, Snowflake, AWS Glue, Azure Synapse, Azure Data Factory, and Azure Data bricks

Data Engineering Tools: Hadoop, Apache Spark, Kafka, Apache Airflow, Docker, Kubernetes

ETL Tools: Azure Data Factory, SSIS, ETL Snowflake

Programming Languages: Python, SQL, Advanced SQL, PL/SQL, C, Java, JavaScript

Scripting Languages: Unix Shell Scripting, Bash Scripting, HTML, CSS

Databases: DB2, MS SQL, Oracle, NoSQL, Cassandra, Pinecone, Cosmos

Data Analysis and Visualization: Data Modeling, Performance Tuning, Data Profiling, Data Mining/Analysis, Data Wrangling, Excel, Tableau, PowerBI, Data Visualization

Machine Learning and AI: Open AI (GPT-35, GPT-4, Ada-2), Azure Machine Learning, Computer Vision

Other Skills: Data Quality, Data Privacy and Security, Business Intelligence, Data Governance, Automation in Data Processing, SLA Management, Collaboration with cross-functional teams, JIRA, GIT

Timeline

Software Engineer

GROWME
06.2023 - Current

Data Engineer

Solution Ladders
05.2022 - 05.2023

Data Engineer

Intex Technologies
10.2020 - 06.2021

Machine Learning Intern

Internshala
04.2020 - 08.2020

Master of Science - Data Science

University of The Pacific

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Eknath Vamsi punna