akshay paranjape

I’m a data professional with over 3+ years of experience working with data platforms, analytics systems and building scalable data workflows.

In my current role at Scaler, I work on building and maintaining data pipelines that support analytics, marketing intelligence and operational workflows across teams. My work involves designing ETL processes, automating data transformations, building dashboards and ensuring reliable datasets for business decision-making.

Alongside my professional work, I actively build data engineering systems and end-to-end pipelines using modern data stack technologies.

My experience includes:

• Building ETL pipelines using Python and SQL

• Processing large datasets using PySpark and Spark

• Designing batch and streaming data pipelines

• Implementing Medallion Architecture (Bronze → Silver → Gold)

• Building scalable transformations using Delta Lake and dbt

• Developing real-time pipelines using Kafka and Spark Streaming

I’m particularly interested in building data platforms, scalable pipelines, and modern data infrastructure that power analytics and machine learning systems.

Tech Stack:

Python | SQL | PySpark | Spark | Kafka | Databricks | Delta Lake | dbt | Airflow | Mage AI | Snowflake | Redshift | Tableau | Power BI