Hello! I’m Nayana, a data engineering professional with over six years of experience designing data platforms to turn raw data into actionable insights. I excel at building reusable data pipelines and automating end-to-end workflows using Python, SQL, and Azure Data Factory. I am passionate about collaboration, innovation, and delivering client-focused solutions that scale. In cross-functional teams, I enjoy partnering with stakeholders to solve complex data challenges. I have hands-on experience with SAP data, SharePoint, APIs, and web scraping, and I’ve led big data transformations using Hadoop, Hive, Hue, and Oozie. I’m comfortable in Agile environments and work with Jira, Confluence, Bitbucket, and Jenkins to manage projects and automation.

Nayana Devanga Kanakaraja

Hello! I’m Nayana, a data engineering professional with over six years of experience designing data platforms to turn raw data into actionable insights. I excel at building reusable data pipelines and automating end-to-end workflows using Python, SQL, and Azure Data Factory. I am passionate about collaboration, innovation, and delivering client-focused solutions that scale. In cross-functional teams, I enjoy partnering with stakeholders to solve complex data challenges. I have hands-on experience with SAP data, SharePoint, APIs, and web scraping, and I’ve led big data transformations using Hadoop, Hive, Hue, and Oozie. I’m comfortable in Agile environments and work with Jira, Confluence, Bitbucket, and Jenkins to manage projects and automation.

Available to hire

Hello! I’m Nayana, a data engineering professional with over six years of experience designing data platforms to turn raw data into actionable insights. I excel at building reusable data pipelines and automating end-to-end workflows using Python, SQL, and Azure Data Factory. I am passionate about collaboration, innovation, and delivering client-focused solutions that scale.

In cross-functional teams, I enjoy partnering with stakeholders to solve complex data challenges. I have hands-on experience with SAP data, SharePoint, APIs, and web scraping, and I’ve led big data transformations using Hadoop, Hive, Hue, and Oozie. I’m comfortable in Agile environments and work with Jira, Confluence, Bitbucket, and Jenkins to manage projects and automation.

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Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
Intermediate
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Language

English
Fluent
Kannada
Intermediate
Hindi
Advanced
German
Intermediate
Dutch
Beginner

Work Experience

Associate Big Data Consultant at T-Systems India Pvt Ltd (Deutsche Telekom)
November 1, 2021 - November 1, 2021
Gained expertise in Hadoop architecture (HDFS, YARN, Hive, MapR distributions). Managed big data environments to ensure scalability and optimized performance. Optimized data pipelines in Scala, integrated Oozie for orchestration, and implemented monitoring and alerting frameworks within Hadoop environments. Automated ad-hoc data processing tasks with Python and shell scripting, improving workflow efficiency. Applied machine learning algorithms (NLP, text mining, sentiment analysis) using NLTK to deliver actionable insights and drive advanced data science projects.
Data Engineer at Cognizant Technology Solutions
May 31, 2022 - May 31, 2022
Developed and maintained data pipelines for Sqoop imports from various sources into the big data platform. Performed data analysis and manipulation with Hadoop ecosystem components (Hive, Impala, Hue). Developed and optimized queries to significantly reduce latency and improve performance. Documented data pipelines and data models to ensure clear project references. Collaborated in an Agile setting with cross-functional teams to deliver client-focused solutions.
Consultant at Capgemini Technology Services
April 30, 2025 - April 30, 2025
Developed and maintained data pipelines in Azure Data Factory (ADF), integrating data from SAP databases, SharePoint, APIs, and web scraping sources to ensure efficient processing and seamless data flow. Implemented data extraction workflows in SAP Data Intelligence, enabling SAP and non-SAP data integration. Led big data transformations with Hadoop ecosystems (Cloudera Hadoop), using Hue to process and analyze large data sets. Managed CI/CD pipelines in Azure DevOps, handling pull requests, merges, and deployments while coordinating with Jira, Confluence, Bitbucket, and Jenkins. Worked in an Agile environment, actively participating in sprint planning, daily stand-ups, and retrospectives to ensure successful client-driven solutions.
Consultant - Big Data at Capgemini Technology Services
April 1, 2025 - April 1, 2025
Developed and maintained data pipelines in Azure Data Factory, integrating data from SAP databases, SharePoint, APIs, and web scraping sources to ensure efficient processing and seamless data flow. Implemented data extraction workflows in SAP Data Intelligence, utilizing Python to integrate SAP and non-SAP data sources, including web scraping and APIs. Led big data transformations with Hadoop ecosystem (HDFS, YARN, Hue, MapReduce), and managed CI/CD pipelines in Azure DevOps, including pull requests, merges, and deployments. Collaborated in an Agile environment using Jira, Confluence, Bitbucket, and Jenkins to deliver client-focused solutions.
Data Engineer at Cognizant Technology Solutions
May 1, 2022 - May 1, 2022
Managed data pipelines for Sqoop imports into the big data platform; performed data analysis and manipulation with Hive, Impala, and Hue; developed and optimized queries to significantly reduce latency and enhance performance; documented data pipelines and data models to ensure clear project references.

Education

Bachelor of Engineering in Computer Science at Mysore, Karnataka, India
January 11, 2030 - January 1, 2018
Bachelor of Engineering in Computer Science at Mysore, Karnataka, India
January 11, 2030 - January 1, 2018

Qualifications

Natural Language Processing and Text Mining
January 11, 2030 - November 3, 2025
Natural Language Processing and Text Mining
January 11, 2030 - November 10, 2025

Industry Experience

Software & Internet, Professional Services, Computers & Electronics