---
title: "SAI PRANEETH NAYAKAWADI - Data Engineer in Kandi | Tal"
description: "Meet SAI PRANEETH NAYAKAWADI, Data Engineer @ Cognizant | Azure · Databricks · ADF · Apache Spark | ETL Pipelines | Python · SQL | Big Data based in Kandi."
image: "https://tal.club/meet/sai-praneeth-3/share-image"
---

# SAI PRANEETH NAYAKAWADI on Tal

## Headline

Data Engineer @ Cognizant \| Azure · Databricks · ADF · Apache Spark \| ETL Pipelines \| Python · SQL \| Big Data

## About

Data Engineer at Cognizant with 4\+ years of experience designing and optimising scalable ETL pipelines on Azure and Databricks\. I specialise in large\-scale data ingestion, transformation, and workflow orchestration — helping organisations move from raw data to reliable, decision\-ready insights\. Over my career, I have developed 100\+ data pipelines, I have re\-engineered 50\+ Databricks notebooks, improved data processing efficiency by 30%, and consistently delivered high\-quality pipelines for cross\-functional business teams\. I work primarily with Azure Data Factory, Apache Spark, PySpark, Python, and SQL, with hands\-on exposure to AWS cloud fundamentals\. Certified in: • Databricks Certified Data Engineer Associate • AWS Certified Cloud Practitioner • Microsoft Certified: Azure Fundamentals I am currently open to senior opportunities in: → Data Engineering → Cloud Data Platforms → Big Data & Analytics Let's connect if you are building robust data infrastructure or looking for a dependable data engineer\.

## Location

Kandi

## Work experience

Data Engineer at Cognizant, Apr 2025 \- Present · 1 yr 4 mos, Hyderabad, Telangana, India, • Designed, developed, and deployed 100\+ scalable ETL pipelines for end\-to\-end data ingestion and transformation across multiple business domains and Optimized performance by 20% • Designed and developed scalable ETL pipelines for end\-to\-end data ingestion and transformation across multiple business domains • Built and optimised Apache Spark and Databricks workflows for large\-scale data processing, improving pipeline performance by 20% • Leveraged Azure Data Factory and Azure Storage for orchestration, data movement, and workflow automation • Enforced data quality, consistency, and reliability standards across all data systems • Partnered with cross\-functional teams including analysts, business stakeholders, and product owners to deliver data\-driven solutions

Junior Data Engineer at Cognizant, Aug 2023 \- Mar 2025 · 1 yr 8 mos, Hyderabad, Telangana, India, • Re\-engineered 50\+ Azure Databricks notebooks, improving data processing efficiency by 30% • Built reusable data transformation modules using PySpark, reducing development time for new pipelines • Performed data quality checks and pipeline monitoring to ensure reliable data delivery to downstream consumers • Collaborated with business teams to translate requirements into technical data solutions

Program Analyst Trainee at Cognizant, Aug 2022 \- Jul 2023 · 1 yr, Hyderabad, Telangana, India, • Administered Big Data management and data quality frameworks to ensure compliance with organisational data governance standards • Gained hands\-on exposure to cloud\-based data workflows and enterprise data engineering practices

Team Captain at ESVC, TEAM RENAISSANCE, Jan 2021 \- Jun 2022 · 1 yr 6 mos, Hyderabad, Telangana, India, • Led a 22\-member team in a national\-level engineering competition for college students focused on emerging technologies • Managed project coordination, task allocation, and team communication across design and technical sub\-teams

ANSYS ANALYST at ESVC, TEAM RENAISSANCE, Jan 2021 \- Jun 2022 · 1 yr 6 mos, • Performed structural analysis using Ansys simulation software to validate design integrity for competition vehicle components

VICE CAPTAIN at Efficycle, TEAM RENAISSANCE, Mar 2020 \- Dec 2020 · 10 mos, Hyderabad, Telangana, India, • Co\-led team participation in a national\-level advanced hybrid vehicle competition, securing 11th place across all\-India ranking in the advanced hybrid category • Coordinated between mechanical and technical sub\-teams to ensure timely delivery of competition milestones

## Education

Bachelor of Technology \- BTech, Mechanical Engineering, CMR Technical Campus \(Autonomous Engineering College\)

CBSE STUDENT, 1\-10 class, kendriya vidyalaya

[View the original profile](https://tal.club/meet/sai-praneeth-3)

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