Abhinav Dhiman

I am a Senior Data Engineer with 6 years of experience specializing in building scalable data pipelines and analytics solutions. My expertise lies in cloud architecture, data modeling, and big data frameworks, particularly in AWS and Azure environments. I have a proven track record of implementing efficient ELT pipelines and designing Lakehouse architectures that enhance data processing capabilities.

At Capgemini Invent, I successfully reduced data latency by 35% through the implementation of scalable ELT pipelines using AWS Glue and S3. My role involved automating metadata-driven transformations with dbt, which significantly improved data quality and reusability. I also integrated CI/CD pipelines using GitHub Actions, which accelerated deployment cycles and ensured robust version control.

Previously, at T-Systems ICT India, I developed data pipelines using Apache Airflow and AWS Lambda, processing large datasets efficiently. My collaborative work in Agile/Scrum environments enforced strong data governance and documentation standards. I am passionate about leveraging data to drive insights and support decision-making processes.