Anish Singla

Background

About Anish Singla

I’m a Data Engineer with 4 years of experience designing, building, and maintaining ETL/ELT pipelines, data warehouses, and analytics platforms in cloud-based environments. My journey into data began unexpectedly after reading Moneyball and seeing how analytics reshaped baseball strategy sparked my curiosity and set me on a path to explore the broader possibilities of data. Since then, I’ve delivered scalable, high-impact solutions that transform raw, multi-source data into clean, actionable insights for sports organizations. I specialize in Python, SQL, Snowflake, and AWS, with hands-on experience in Airflow, dbt, Terraform, and modern data architectures. Some highlights- Improved data latency by 20% through optimized ETL pipelines in Snowflake and AWS - Delivered trusted datasets that influenced $2.1M+ in quarterly business decisions - Automated reporting workflows, increasing data availability by 90%- Achieved 99%+ uptime in real-time pipelines using Snowflake and Lambda - Cut infrastructure provisioning time by 40% with CI/CD automation in Airflow/Terraform - Reduced pipeline failures by 50% through enhanced logging, error handling, and optimization What drives me most is curiosity and clean design, which allows me to make decisions fast, reliably, and scalably. Whether building batch workflows in Snowflake or exploring real-time streaming with Kafka and Spark, I love working at the intersection of data architecture, performance, and business impact. Always learning. Always building. Currently exploring streaming architectures and data observability tools. Let’s connect! I’d be happy to talk data, sports, or new opportunities to make analytics even more impactful.