---
title: "Ajay Singh - Senior Data Engineer in Greater Delhi Area | Tal"
description: "Meet Ajay Singh, Senior Data Engineer | AWS (Glue · Kinesis · Redshift · Lambda · Step Functions) | Databricks · Snowflake · PySpark · dbt | CDC · Streaming · Airflow | Vanguard · Kroger based in Greater Delhi Area."
image: "https://tal.club/meet/ajay-singh-4/share-image"
---

# Ajay Singh on Tal

## Headline

Senior Data Engineer \| AWS \(Glue · Kinesis · Redshift · Lambda · Step Functions\) \| Databricks · Snowflake · PySpark · dbt \| CDC · Streaming · Airflow \| Vanguard · Kroger

## About

🚀 Senior Data Engineer with 5 years building enterprise\-grade, AWS\-native data platforms for Fortune 500 clients in fintech and retail at production scale\. I specialize in designing and delivering end\-to\-end cloud data solutions — from real\-time ingestion to analytics\-ready Gold layers — with a strong focus on AWS, Databricks, and Snowflake\. I've built CDC pipelines for Vanguard \($9T AUM\), a multi\-region serverless API platform for Kroger \(US retail\), and streaming Medallion architectures for Qorvo — all with strict data quality, compliance, and uptime requirements\. 𝗪𝗵𝗮𝘁 𝗜 𝗮𝗿𝗰𝗵𝗶𝘁𝗲𝗰𝘁 𝗮𝗻𝗱 𝗯𝘂𝗶𝗹𝗱: → Real\-time CDC & streaming pipelines — AWS Glue, Kinesis, DynamoDB Streams, Lambda → Medallion Lakehouses \(Bronze/Silver/Gold\) — Databricks DLT, Auto Loader, Delta Lake, Unity Catalog → Cloud Data Warehousing — Snowflake \(ELT, streams, tasks, dynamic tables\) → Pipeline Orchestration — Apache Airflow \(Astronomer/MWAA\), Databricks Workflows → Data Transformation — dbt \(models, tests, snapshots, incremental loads\) → Serverless ETL/ELT — Lambda, Step Functions, API Gateway, AWS Glue Catalog → Data quality frameworks — DLT Expectations, automated reconciliation, SNS alerting → Multi\-region Active\-Passive AWS architectures for high availability 𝗖𝗼𝗿𝗲 𝗔𝗪𝗦 𝗦𝘁𝗮𝗰𝗸: AWS Glue · Kinesis · Lambda · Step Functions · Redshift · DynamoDB · S3 · SNS · API Gateway · IAM · CloudWatch · Glue Data Catalog · MWAA 𝗗𝗮𝘁𝗮 & 𝗣𝗿𝗼𝗰𝗲𝘀𝘀𝗶𝗻𝗴: Databricks · Snowflake · Delta Lake · dbt · Apache Airflow · PySpark · Apache Spark · Apache Kafka · Python · SQL · Unity Catalog 𝗔𝗹𝘀𝗼 𝘄𝗼𝗿𝗸𝗲𝗱 𝘄𝗶𝘁𝗵: Azure Data Factory · ADLS Gen2 𝗡𝘂𝗺𝗯𝗲𝗿𝘀 𝗜'𝗺 𝗽𝗿𝗼𝘂𝗱 𝗼𝗳: 📊 \~15% reduction in data inconsistency at Vanguard via automated reconciliation ⚡ 30–40% API throughput improvement at Kroger through decoupled serverless design 🔄 4,000\+ annual transactions processed at 99\.97% uptime \(multi\-region AWS\) 📦 Millions of records migrated from DB2 mainframe to cloud — zero data loss

## Location

Greater Delhi Area

## Work experience

Senior Data Engineer at HashedIn by Deloitte, May 2024 \- Present · 2 yrs 2 mos, Gurugram, Haryana, India, Building enterprise\-grade cloud data solutions on AWS and Databricks for Fortune 500 clients across fintech and retail\. 🔷 Project: Success Factor \| Client: Qorvo \(Semiconductor\) • Architected end\-to\-end Databricks streaming Medallion pipeline \(Bronze/Silver/Gold\) ingesting JSON from AWS S3 via Auto Loader with metadata\-driven schema inference • Built staging layer using Delta Live Tables \(DLT\) Expectations for automated data quality validation — failed records quarantined before Bronze layer • Implemented Silver transformations \(SCD Type 2, multi\-source joins, business\-rule mappings\) and Gold aggregations connected to Tableau dashboards • Orchestrated full pipeline via parameterized Databricks Workflows 🔷 Project: Digital Forms Signature \| Client: Vanguard \($9T AUM\) • Designed near real\-time CDC pipelines using AWS Glue, Lambda, Step Functions, Kinesis & S3 — migrating legacy DB2 mainframe data to DynamoDB and Redshift at millions\-of\-records scale • Reduced data inconsistency by \~15% through automated source\-to\-target reconciliation with SNS\-driven operational alerts 🔷 Project: Serverless API Platform \| Client: Kroger \(US Retail\) • Deployed multi\-region \(Active\-Passive\) serverless AWS architecture with API Gateway, Step Functions, Lambda, JWT auth — processing 4,000\+ annual transactions • Improved API throughput 30–40% through decoupled validation/submission workflows Skills: AWS Glue · AWS Lambda · Amazon Kinesis · Databricks · Delta Live Tables · PySpark · Apache Spark · CDC · ETL/ELT · Medallion Architecture

Data Engineer at EXL, Apr 2022 \- Sep 2023 · 1 yr 6 mos, Gurugram, Haryana, India, Built and optimised data engineering solutions on Azure and Databricks for American Express\. • Built and maintained 20\+ Azure Data Factory \(ADF\) pipelines for ETL into ADLS Gen2 • Developed PySpark and SQL data processing solutions in Databricks — applying partitioning, coalescing, and join optimizations for performance tuning • Created Delta format Data Warehouse tables using MERGE operations; automated ADF workflows with triggers • Implemented monitoring and alerting for production pipelines on the American Express data platform Skills: Azure Data Factory · Databricks · PySpark · Delta Lake · ADLS Gen2 · SQL · Python

Data Analyst at OPK E SERVICES, Mar 2021 \- Apr 2022 · 1 yr 2 mos, Gurugram, Haryana, India, • Designed full and incremental data load pipelines using Azure Data Factory • Developed ETL/ELT processes with Python and PySpark to ingest multi\-source data into ADLS Gen2 for downstream analytics

Student at Applied AI Course, Jun 2020 \- May 2021 · 1 yr

Data Analyst Intern at MyScoot, Sep 2019 \- Mar 2020 · 7 mos, Gurugram, Haryana, India, • Got Letter of recommendation\. • Performed analysis and presented results using SQL, Google sheets, Microsoft Excel, Google studio, and Python\. • Imported, exported, and manipulated large datasets\. • Performed insight analysis of users with Mixpanel, Google analytics\.

## Education

Bachelor of Technology \- BTech, Civil Engineering, Dronacharya College of Engineering

[View the original profile](https://tal.club/meet/ajay-singh-4)

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