Anoop Kanigolla

About Anoop Kanigolla

Senior Data Engineer with 7+ years building cloud-native data platforms on AWS and GCP, with a strong focus on Advanced SQL, DBT, Snowflake, and Dagster. Reduced platform costs by 40%, cut data latency by 40%, and improved reporting reliability by 45% across high-scale production environments.Core strengths- Advanced SQL, DBT, Snowflake: Built and maintained 30+ production ELT pipelines serving 100+ analysts. Designed star schema dimensional models that cut ad-hoc transformation effort by 30%- AWS Data Platform: Architected cloud-native data lakes on S3, Glue, Athena, and Lambda using Apache Iceberg with 99.9% pipeline uptime and sub-2-hour SLAs- Cloud Migrations: Led two full migrations end-to-end (BigQuery to AWS, Athena to Snowflake) with zero downtime, 40% cost reduction, and 60% less manual engineering effort- Real-Time Streaming: Built Confluent Kafka, Apache Spark Streaming, and Flink SQL pipelines processing TB-scale data daily with sub-minute latency- Dagster Orchestration: Designed event-driven pipelines using Dagster, Lambda, SNS, and SQS that cut end-to-end data latency from 4+ hours to under 2 hours.Open to Senior Data Engineer and Analytics Engineer roles (remote preferred). Strong track record delivering data products that teams actually use.

Experience

1. Data Engineer

   Indeed

   Jan 2023 — Present · US

   Developed robust ETL pipelines consolidating diverse data sources into a centralized warehouse, eliminating inconsistencies and enabling faster, reliable reporting.• Applied DBT (Data Build Tool) best practices to build models in Google BigQuery for advanced data modeling and transformations. • Leveraged materializations, partitioning, and bucketing to reduce query execution time by 35%.• Migrated and optimized data infrastructure from Google BigQuery to AWS, designing scalable data models to meet performance requirements.• Partnered in the design and delivery of custom, scalable event-driven workflow orchestrator using AWS services and DBT, improving data latency by 40% and powering critical analytics products.• Led migration from Athena to Snowflake, reducing data platform costs by 40% while improving query performance and operational efficiency.• Automated Snowflake migration workflows using prompt engineering with Cursor and Claude AI, cutting manual effort by 60% and accelerating delivery timelines.• Collaborated with product managers, analysts, and engineers to define requirements and deliver actionable data solutions.• Authored documentation, provided training, and supported stakeholders to drive adoption and effective use of data models.

Education

• Vellore Institute of Technology

  Bachelor of Technology - BTech, Electronics and Communications Engineering

  2013 — 2017

• University of South Florida Muma College of Business

  Master of Science - MS, Business Analytics and Information Systems