
KEERTHANA N
@keerthanan3
Data engineering lead and analytics consultant at Accenture who built supply chain decision-intelligence pipelines and operational writebacks.
What I'm looking for
At Accenture, I developed analytical datasets, data pipelines, and workflow automations within the Aera Decision Intelligence Platform for supply chain loss prevention and waste mitigation. I also supported deployments, testing, and production across development, UAT, and production environments.
At Accenture, I built data harmonization pipelines with Azure Databricks, Python, PySpark, and SQL, integrating enterprise sources into trusted analytical datasets. I automated data-quality validation frameworks that reduced manual effort by approximately 50%.
I designed ELT pipelines from AWS S3 into Snowflake and developed reusable dbt models and analytical data marts for business intelligence and self-service analytics. I also automated testing and deployment workflows with Python, Azure DevOps, and Git-based CI/CD practices.
My work has also included marketing analytics, predictive modeling, and data governance solutions using Python, SQL, Power BI, and React. Earlier, as a Research Intern at Earth and Climate Science NRSC Hyderabad, ISRO, I analyzed satellite datasets for snow-cover estimation.
Experience
Work history, roles, and key accomplishments
Delivered decision intelligence and supply chain analytics solutions for global FMCG organizations. Designed and developed analytical datasets and data pipelines within the Aera Decision Intelligence Platform, supporting supply chain loss prevention and waste mitigation initiatives.
Delivered analytics engineering, data engineering, governance, and advanced analytics solutions for global FMCG clients. Developed scalable data harmonization pipelines using Azure Databricks, Python, PySpark, and SQL, and automated data quality validation frameworks reducing manual effort by approximately 50%.
Research Intern
Earth and Climate Science NRSC Hyderabad, ISRO
Jun 2021 - Sep 2021 (3 months)
Performed spatiotemporal interpolation to improve snow-cover estimation from satellite imagery. Evaluated and compared satellite datasets using time-series analysis, statistical techniques, classification methods, and large-scale geospatial data processing workflows.
Education
Degrees, certifications, and relevant coursework
National Institute of Technology Karnataka, Surathkal
Master of Technology, Remote Sensing and GIS
Master of Technology in Remote Sensing and GIS. Research thesis on determining optimum SAR datasets for crop rotation and flooding pattern analysis.
National Institute of Engineering, Mysuru
Bachelor of Engineering, Civil Engineering
Bachelor of Engineering in Civil Engineering.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Salary expectations
Social media
Job categories
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