Open to opportunities

Shashank Shashishekhar Reddy

@shashankshashishekha

I build scalable cloud data platforms and real-time analytics pipelines.

At AirFold, I architect multi-cloud AWS/GCP platforms for 50+ services and engineer Kafka, Debezium CDC, and ClickHouse pipelines that process millions of daily events with sub-second latency. I've also built 100+ FastAPI endpoints and automated Kubernetes delivery across 60+ Helm releases, cutting cloud costs by 30% and tripling deployment frequency.

Previously at Kantar and The Sparks Foundation, I delivered Spark, Airflow, dbt, AWS Glue, and MWAA data solutions that improved pipeline performance, accelerated reporting, and automated recurring workflows. I bring 5+ years of experience building reliable ETL/ELT systems, data models, and cloud infrastructure for enterprise-scale analytics.

Experience

Work history, roles, and key accomplishments

Current

Data Engineer

Current

AirFold

Jan 2025 - Present (1 year 7 months)

Architected multi-cloud platform (AWS/GCP) using Terraform, EKS, and Istio, ensuring high availability for 50+ services. Engineered event-driven pipeline with Kafka, Debezium CDC, and ClickHouse processing millions of daily events with sub-second latency.

AWS GCP Terraform Istio Kafka Debezium Clickhouse fastAPI Auth0 RBAC DBT Snowflake Karpenter GitOps Helm PostgreSQL DynamoDB CI CD

Data Engineer

Kantar

Apr 2020 - Apr 2022 (2 years)

Orchestrated ELT pipelines using Airflow and Spark, integrating Kafka streams for advertising data ingestion. Deployed dbt for modular SQL transformations, reducing time-to-insight by 25%.

Airflow Spark Kafka Kafka Streams DBT AWS Lambda S3 SQL ETL ELT

Data Engineer

The Sparks Foundation

Apr 2018 - Mar 2020 (1 year 11 months)

Optimized ETL pipeline performance, achieving 25% efficiency improvement through parallel processing and retry logic. Enhanced PostgreSQL and MySQL query performance by 30% through indexing and execution plan analysis.