Himani Balyan Rathee
Senior Data Engineer @ Persistent Systems | Big Data Engineer | Azure Cloud
- Role
- Engineering Lead at Persistent Systems
- Location
- Gurugram, HR, IN
- LinkedIn followers
- 500 followers
About Himani Balyan Rathee
Senior Data Engineer with over 7 years of experience designing and implementing large-scale data pipelines, ETL/ELT pipelines, and data warehouse solutions across diverse industries, including Supply Chain Management, Banking, and Retail. Expert in developing scalable, end-to-end Big Data solutions for batch processing and data migration with a strong focus on cost optimization, data governance and automation to accelerate development cycles. Proficient in technologies such as Python, SQL, PySpark, and Databricks, leveraging leading cloud platforms including Azure. If you are seeking a passionate Cloud Data Engineer with a strong background in Data Engineering, who can contribute to your organization\'s success by leveraging cutting-edge technologies, optimizing data processes, and driving innovative solutions, I would be delighted to connect and discuss how I can contribute. The key technical snippets of my career-> Programming Languages - Python, SQL, PySpark-> Big Data Tech - Spark, Databricks, Hadoop, Data Modeling, Data Warehouse, ETL/ELT Pipelines-> Azure Services - ADF, ADB, ALDS, Azure DMS, Log Analytics, Azure Monitor, Key Vault, Data Lake, Delta Lake, Unity Catalog-> Scheduler - Azure Data Factory-> Familiar - Oracle DB, PostgreSQL, Git, SVN, Bitbucket
Experience
Engineering Lead
Dec 2025 — Present · Gurugram, IN
Led the engineering team in the successful delivery of a modular, multi-tenant product that featured a robust framework for spend analysis across all organizational divisions. Integrated machine learning classification models to support detailed insights, enabling stakeholders to optimize monthly expenditures and conduct effective internal audits and risk assessments of the Procure-to-Pay (P2P) process within the supply chain domain. Designed scalable, cloud-agnostic data workflows on Databricks using Delta Lakehouse and Unity Catalog, implementing a medallion architecture for efficient data ingestion, processing, and transformation. Critical business anomalies were identified and stored in Datamarts, powering interactive dashboards for enhanced decision-making and visualization.
Education
Gujarat Technological University (GTU)
Bachelor of Engineering, Electronics and Communications
2014 — 2018
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