
Mayank Agarwal
@mnkagarwal0
I build petabyte-scale data mesh, streaming, and Agentic AI platforms.
What I'm looking for
At Amazon, I build enterprise data platforms spanning QuickSight, Lakehouse MCP, streaming ingestion, and privacy engineering. I delivered a centralized QuickSight platform for 1,500+ MAUs and an AI-powered deployment agent that reduced dashboard promotion from one week to five minutes.
Previously at Delhivery and ZS Associates, I built reliable Spark and Kafka pipelines, migrated large-scale Kafka infrastructure, and developed multi-cloud self-service analytics platforms. I work across AWS, Databricks, Snowflake, Spark, Kafka, Airflow, Python, SQL, and AI agent frameworks to make governed data products faster to deliver and easier to use.
Experience
Work history, roles, and key accomplishments
Architected a centralized AWS QuickSight platform replacing a $1.21MM/year Tableau Server, supporting 1,500+ MAUs and 2,700+ dashboards. Designed and deployed the organization's first Lakehouse MCP platform on AWS Bedrock AgentCore, processing 40,000+ invocations within two months.
Data Engineer
Delhivery
Feb 2024 - May 2025 (1 year 3 months)
Engineered production-grade Spark Structured Streaming pipelines for real-time Kafka ingestion into Redshift and TiDB, achieving 99.9% uptime across 30+ consumer teams. Spearheaded migration of 2,000+ Kafka Connect connectors and 5,000+ active topics to a secure self-service platform.
Built a multi-cloud Big Data platform supporting analytics across 65 countries, enabling self-service data products through data mesh architecture. Architected a serverless ETL framework using AWS Lambda and Redshift Serverless, reducing execution time and infrastructure costs by 50%.
Education
Degrees, certifications, and relevant coursework
Jadavpur University
Bachelor of Engineering, Electronics and Instrumentation
2018 - 2022
Pursued a Bachelor of Engineering in Electronics and Instrumentation with Honors, graduating in 2022.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Salary expectations
Social media
Job categories
Skills
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