Naman Khare

Data Engineer with 4 years of experience in analytics engineering, batch data processing, and enterprise data platforms. Strong background in SQL-based transformations, data validation, and automation for business-critical reporting systems. Hands-on experience building PySpark-based ETL workflows using AWS Glue and Amazon S3 to support reliable, end-to-end data pipelines.

Solution Engineer at Indus Valley Partners (2025-07 – 2026-06)

Internal Data Quality Tool - FSCS

• Developed PySpark-based data validation and reconciliation workflows to support internal data quality checks.
• Built and maintained AWS Glue ETL jobs for batch processing, leveraging Apache Spark execution.
• Seamlessly imported and exported files to/from Business NAS and AWS S3 Buckets.
• Collaborated with cross-functional teams to support reliable execution of data quality workflows.
• Tech Stack: AWS Glue, AWS S3, PySpark, MWAA(Orchestration)
• Security Master
• Owned data workflows for the Security Master platform, using SQL and enterprise data warehousing to support 99.9% data accuracy for downstream portfolio and regulatory reporting.
• Translated client and business requirements into scalable data solutions, collaborating with engineering and operations teams to improve data ingestion success by 30% and reduce recurring data issues by 25%.
• Supported production data pipelines and issue triage via Zendesk, reducing average incident resolution time by 35% while ensuring stable platform performance.
• Tech Stack: SQL, Enterprise Data Warehousing, Batch Processing, CI/CD, Zendesk

Application Development Analyst at Accenture (2022-09 – 2025-07)

Client: Halliburton Halliburton AMS

• Played a product-facing role in a large-scale Oracle Cloud ERP migration, supporting 30+ schemas and 300K+ end users.
• Collaborated with product owners, business stakeholders, and engineering teams to define requirements, acceptance criteria, and release priorities, supporting end-to-end UAT and achieving zero data loss with a 30% reduction in downtime.
• Automated key data processes using SQL scripts and batch jobs, developing and maintaining complex SQL queries, stored procedures, and functions, and performing ad-hoc data extraction and transformation for reporting and analysis, resulting in a 40% reduction in manual processing time.
• Tech Stack: SQL, Power BI, Data Warehousing, Batch Scripting, Tableau, Oracle Cloud, Postman, Toad
• Database Migration and Platform Transition
• Conducted Oracle Cloud platform reconciliation of cloud migration.
• Designed and delivered self-service BI dashboards (Power BI, Tableau) to track KPIs like sales, operations, and inventory.
• Developed and implemented comprehensive error handling and logging frameworks, ensuring data integrity and minimizing post-migration issues by 20%.
• Tech Stack: Oracle Cloud, SQL
• Automated Workflow and Job Scheduling
• Built automation frameworks for recurring jobs and ETL pipelines, improving efficiency by 50%.
• Actively partnered with operations, warehouse support, and technical teams to identify bottlenecks and deliver business-critical improvements.
• Documented product and technical requirements, coordinated implementation across teams, and tracked user adoption while optimizing batch jobs and database queries to improve execution time and overall system performance.
• Tech Stack: Shell Scripting, SQL, Unix, ETL, CI/CD, Service Now, MS Windows Server, Pyspark.

B.Tech – Jaypee University of Engineering and Technology (2018 – 2022)

Senior Secondary – Mansarovar Academy (2017 – 2018)