Akshay Nagulavancha

Data Engineer @Deloitte

Toronto, ON, CA

Designed and delivered scalable, cloud-native data infrastructure and workflows across AWS and Azure. Spearheaded the implementation of 60+ modular Airflow DAGs orchestrating complex ETL and ML pipelines with robust error handling, retries, and SLAs. Developed 100+ dbt models for layered transformations in Snowflake, enabling reliable, testable, and well-documented analytics.Led cloud migration initiatives, rearchitecting legacy Informatica jobs into modern Airflow + dbt + Glue solutions, improving performance by 45% and enhancing observability. Built secure and reusable Terraform modules to provision infrastructure (EMR, Glue, IAM, VPC), and implemented a CDC-enabled ingestion framework for 25+ data sources including SQL, APIs, SFTP, and Kafka.Created a production-grade metadata discovery layer integrating dbt docs, AWS Glue Catalog, and Snowflake lineage, and implemented data quality checks with Great Expectations integrated into Airflow and Slack. Developed cost-efficient Snowflake warehouse strategies with monitoring, clustering, and task orchestration.Built real-time streaming data pipelines using Kinesis, Lambda, and EMR, supporting analytics use cases and ML feature generation via SageMaker. Established CI/CD practices using Jenkins and GitHub Actions to automate testing, deployments, and rollbacks. Partnered with security teams to enforce data access controls (SSO, RBAC, SAML) and ensure encryption, auditability, and compliance.Regularly mentored junior engineers, published internal documentation/playbooks, and hosted workshops on dbt, Airflow, and cloud data engineering best practices.

Jawaharlal Nehru Technological University

Bachelors of Technology