Girish Nekar
Data Engineer | Snowflake | Azure Databricks | PySpark | Pharma Data Platforms
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About
Hands-on Data Engineer with experience designing, building, and optimizing scalable data platforms using Snowflake, Azure Databricks, and PySpark. Strong background in developing ETL/ELT pipelines, implementing Medallion Architecture, and modeling analytics-ready datasets using star schemas and dimensional modeling. Proven ability to support enterprise-scale pharma commercial data platforms with reliable, performant, and production-grade data engineering solutions.
Experience
Data Engineer I - Apexon (Client: IQVIA) - Bangalore
(2025-11)
- Designed and implemented Snowflake-based data pipelines to ingest, standardize, and curate large-scale pharma commercial datasets.
- Built Bronze, Silver, and Gold layers following Medallion Architecture to ensure data quality, scalability, and governed data access.
- Developed enterprise-grade star schemas with high-volume fact tables and conformed dimensions to support downstream data consumption.
- Implemented territory and geo-hierarchical data models covering region, state, district, and ZIP-level structures.
- Optimized Snowflake storage, compute, and query performance to support low-latency and high-concurrency analytical workloads.
Data Engineer Trainee - Apexon (Client: IQVIA) - Bangalore
(2024-11 - 2025-11)
- Built and maintained fact and dimension tables aligned with dimensional modeling standards.
- Performed SQL-driven data validation, reconciliation, and quality checks across ingestion and transformation layers.
- Assisted senior engineers in improving pipeline reliability and data model consistency.
Machine Learning Engineer Intern - Cymbeline Innovation Pvt. Ltd. - Bangalore
(2024-04 - 2024-07)
- Developed image detection solutions using OpenCV and Convolutional Neural Networks (CNNs) for computer vision use cases.
- Implemented deep learning models using TensorFlow for training, evaluation, and inference.
- Performed time series analysis on energy meter data to identify usage patterns and trends.
- Built forecasting models using Meta's Prophet time series framework, fully implemented in TensorFlow-based workflows.
Education
Bachelor of Engineering - Electronics & Communication Engineering - Bangalore Institute of Technology (2024)


