Raghav Mahajan

Designed and managed data pipelines to automate ingestion, transformation, and validation processes using Matillion, Snowflake and Python. Developed and optimized ETL workflows for large datasets in cloud environments. Conducted data assessments and quality checks to ensure data integrity and consistency. Led a team in standardizing and automating data processing pipelines, incorporating best practices for efficiency gains. Configured data models and structured datasets to align with business requirements and analytical needs. Collaborated with stakeholders to gather requirements and develop scalable data solutions.

Designed and developed Snowlake-based ETL workflows, integrating and transforming large datasets from multiple sources using stored procedures. Implemented data validation scripts to ensure accuracy and reliability in data pipelines. Supported deployment of ETL solutions in cloud environments (AWS, Snowflake) and optimized query performance. Created data models and schema structures to support business intelligence and reporting.

Developed automated data transformation scripts using Matillion and SQL-based ETL processes. Performed data profiling, data quality checks, and root cause analysis for data inconsistencies. Assisted in the migration of data pipelines to cloud platforms, improving scalability and efficiency. Documented source-to-target mappings and ensured compliance with data governance policies.

Developed real-time analytics solutions to enhance operational efficiency. Designed and implemented predictive models using time series forecasting techniques. Conducted data analysis to drive insights and improve performance of key business processes.

Built anomaly detection models to enhance data accuracy and efficiency. Developed a forecasting algorithm using the ARIMA model to predict customer behavior trends.