Open to opportunities

Ankit Saxena

@ankitsaxena

Message

I’m a data engineer building scalable ETL/ELT and ML-ready platforms on AWS, Databricks, and Snowflake.

India

Message

What I'm looking for

I’m looking for a Senior Data Engineer role to own streaming/batch data architecture, productionize ML-ready pipelines, and apply MLOps best practices with strong engineering ownership.

I’m a Data Engineer with 2+ years of experience architecting and productionizing large-scale ETL/ELT pipelines, ML-ready data platforms, and GenAI-enabled microservices. I focus on end-to-end ownership—from data modeling and pipeline design through CI/CD deployment and production monitoring.

In my recent role, I architect and maintain Databricks pipelines using PySpark and AWS to support enterprise analytics and demand forecasting. I’ve also led implementations of time-series forecasting workflows, used Databricks AutoML to streamline model development, and operationalized experiment tracking and model versioning with MLflow.

I bring strong platform engineering and cost/performance discipline: I’ve built cloud-ready data workflows with Databricks, Delta Lake, and distributed Spark jobs; optimized PySpark ETL for lower latency and reduced storage costs; and delivered production automation via GitHub Actions and Docker. I’m excited to bring the same engineering rigor to scalable data architecture and MLOps best practices.

Experience

Work history, roles, and key accomplishments

Current

AI/ML Engineer I

Current

Simplifix Systems

Jan 2026 - Present (6 months)

Architect and maintain end-to-end Databricks pipelines using PySpark and AWS to process large-scale retail sales and inventory data. Build forecasting and GenAI-powered analytics workflows using Databricks AutoML, OpenAI SDK, and MLflow for production monitoring and deployment.

Databricks Pyspark AWS MongoDB Data Lake AutoML OpenAI SDK MLFlow Model Versioning

Associate Software Developer

Bosch Global Software Technologies

Feb 2025 - Jan 2026 (11 months)

Designed and optimized PySpark-based ETL pipelines for internal AI platforms using Databricks and Delta Lake. Built FastAPI and HuggingFace LLM microservices and implemented CI/CD with GitHub Actions and Docker to reduce production issues.

Pyspark ETL Databricks Delta Lake fastAPI GitHub Actions Docker CI CD Distributed Spark Jobs

Data Engineer Trainee

FranConnect Pvt. Ltd.

Sep 2024 - Feb 2025 (5 months)

Built and maintained large-scale ETL pipelines using PySpark, Hive, and SQL to process 30M+ records daily. Implemented incremental ingestion, schema evolution, partition tuning, caching strategies, and automated deployments with Docker and GitHub Actions.

Pyspark Apache Spark Hive SQL ETL Incremental Ingestion And Schema Evolution Partitioning Caching Docker GitHub Actions

Data Scientist Trainee

Dyno India Pvt. Ltd.

Feb 2023 - Aug 2023 (6 months)

Built deep learning pipelines using CNN and LSTM architectures and improved validation metrics. Implemented recommender systems using collaborative filtering approaches and completed ML workflows from EDA and feature engineering through model deployment and documentation.

Deep Learning CNN Recommender Systems Collaborative Filtering EDA Feature Engineering Documentation