Atharva Nadkarni
Senior Data Engineer at Accenture | ex-LTI | AWS | Azure | Gen AI | ML | Databricks | Glue | Snowflake | Kafka | Cloudera (Ozone ,Iceberg) | Terraform | GitLab | Docker , Kubernetes | Linux | SQL | Pyspark | ETL | Python
- Role
- Senior Data Engineer (Aws, Azure) at Accenture
- Location
- Mumbai, MH, IN
- LinkedIn followers
- 500 followers
About Atharva Nadkarni
Accenture:• Collaborated with business stakeholders and end users to gather requirements and design a scalable, secure data platform architecture for handling Oil & Gas Retail Business data. • Built real-time data ingestion pipelines to process streaming data from retail endpoints, transforming and storing it in an enterprise-grade data warehouse and relational databases. • Developed and maintained batch and streaming ETL workflows using Pyspark and distributed data processing frameworks to handle high-velocity and high-volume data from diverse sources. • Automated data retention, archival, and backup workflows to ensure compliance, optimize storage costs, and support long-term analytics.LtiMindtree:• Collaborated with functional and business teams to understand ERP data structures and created custom SQL queries for operational and financial reporting. • Designed and developed automated data pipelines in Python to extract, transform, and load (ETL) Oracle Fusion ERP data across Supply Chain and Finance modules. • Built robust reporting solutions by integrating data from Oracle Fusion SCM (Inventory, Procurement, Order Management) and Finance (AP, AR, GL) modules. • Developed Qpatch Analyser web application product using Python & Postgres integrating ERP quarterly update. • Development of Data Migration tool from JD Edwards ERP(on-prem) to Oracle Fusion ERP(cloud).
Experience
Senior Data Engineer (Aws, Azure)
Aug 2024 — Present · Mumbai, IN
Collaborated with business stakeholders and end users to gather requirements and design a scalable, secure data platform architecture for handling Oil & Gas Retail Business data. • Built real-time data ingestion pipelines to process streaming data from retail endpoints, transforming and storing it in an enterprise-grade data warehouse and relational databases. • Developed and maintained batch and streaming ETL workflows using Pyspark and distributed data processing frameworks to handle high-velocity and high-volume data from diverse sources. • Automated data retention, archival, and backup workflows to ensure compliance, optimize storage costs, and support long-term analytics.
Education
Vivekanand Education Society's Institute Of Technology
Bachelor of Engineering - BE
Welingkar Institute of Management
Postgraduate Degree
Find verified contacts for anyone on LinkedIn
Unifers gives sales teams verified emails and direct dials, enriched profiles, and outreach that lands in the inbox.
Free plan included · No credit card required
This profile is compiled from publicly available professional sources. Unifers is not affiliated with or endorsed by LinkedIn. Request removal of this profile.