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Girish Nekar

Girish Nekar

Data Engineer | Snowflake | Azure Databricks | PySpark | Pharma Data Platforms

Talent
BengaluruMember since July 2, 2026
SQLPythonPySparkSnowflakeAzure DatabricksMedallion ArchitectureData Validation & ReconciliationPharma Commercial Data PlatformsOpenCVConvolutional Neural Networks (CNNs)TensorFlowMeta's ProphetClaude 3.5
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SQLPythonPySparkSnowflakeAzure Databricks

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)

Skills

Data EngineerSnowflakeAzure DatabricksPySparkPharma Data Platforms

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