Headline

Fintech Data Engineering Leader | IIT Delhi | Built scalable data platforms from scratch in multiple startups | Built teams from zero | Data Engineering Mentor - Transform You in Just 8 Weeks | Founder of Data2Gear

About

I am a Fintech Data Engineering Leader with 11+ years of experience building scalable, cloud-native data platforms from scratch, leading data teams, and enabling product, analytics, and ML-driven decisioning across high-growth environments. My work has primarily focused on owning data platforms end to end—from architecture and cloud strategy to reliability, cost optimization, and business impact. I have built and scaled platforms supporting digital wallets, BNPL/credit systems, ecommerce, gaming, and consumer applications, where data correctness and availability are business-critical. Over the years, I have: - Designed and owned lakehouse and streaming data platforms on AWS, Azure, GCP, and OCI - Built multi-source ingestion and replication frameworks powering analytics, ML models, and production APIs - Led and grown data engineering, analytics, and BI teams, working closely with Product, Risk, ML, and Business stakeholders - Enabled analytics and ML use cases (RFM, CLV, credit scoring, churn, personalization) by building strong, reliable data foundations - Optimized infrastructure and query patterns to achieve significant cost reductions while improving performance and reliability In addition to corporate leadership roles, I founded Data2Gear, a data engineering consulting, services, and mentorship company, where I delivered production-grade data platforms, analytics, and AI solutions across multiple industries. Through Data2Gear, I also designed and ran a high-ticket Data Engineering mentorship program, helping professionals move from tool-centric learning to real-world system design and platform thinking. I enjoy working at the intersection of data platforms, product strategy, and business outcomes, and I am particularly interested in roles where data directly powers financial products, decision systems, and customer experiences. ⚡ Immediate Joiner

Location

Greater Bengaluru Area

AI stack

claude code

cursor

gemini

notebooklm

openai

Amazon Q Developer

Work experience

Data Architect at Merqube Inc, Bangalore, Feb 2026 - Jun 2026 · 5 mos, Bengaluru, Designed and built a scalable, AWS cloud native data platform, setting up the team and data culture from scratch. Defined and governed enterprise data models and schemas (Bronze–Silver–Gold layers), ensuring data quality, consistency, and auditability across pipelines using data contracts. Architected end-to-end batch and real-time ETL/ELT pipelines using distributed processing frameworks, improving data availability and supporting analytics for rules-based investment strategies. Designed Schema for data received from data vendors like ICE, TickHistory, LSEG, Bloomberg, did complex JSON flattening to tabular format to save in Clickhouse and Iceberg tables. Handled Realtime data of Options and Futures at rate of 450 K events /sec (~ 450 MBPS) using Apache Flink.

Founder at Data2Gear, Sep 2025 - Jan 2026 · 5 mos, New Delhi, Founded Data2Gear, a data engineering consulting, services, and coaching company, delivering scalable data platforms, analytics, and AI solutions for startups and enterprises • Worked directly with founders, product leaders, and engineering teams to translate business requirements into production-grade data systems Consulting & Delivery Highlights • Gaming Analytics Platform (Adda52) | Designed and delivered a Spark-based ETL framework ingesting data from MariaDB and Kafka into AWS S3 and Snowflake, enabling scalable reporting and analytics • Sustainability & Carbon Analytics (Dubai Airports – DXB & DWC) | Built an end-to-end data ingestion and analytics solution (Excel → Postgres), processing electricity, water, fuel, and waste data; delivered Tableau dashboards for carbon-emission tracking across both airports • AI-Powered Video Search (Webority Technologies) | Developed a system to search keywords across ~18,000 hours of video, using ASR (OpenAI Whisper), GPU-enabled processing, AI-based tagging, and metadata storage in MySQL & Elasticsearch • AI-Based Knowledge Chatbot (Yantrika Technologies & Webority) | Built an AI-driven chatbot capable of answering questions from PDFs and databases using open-source NLP models (DistilGPT, GPT-2, BERT), with voice input (Hindi & English); deployed on AWS SageMaker Mentorship & Talent Development • Designed and delivered a high-ticket, paid Data Engineering Mentorship Program • Completed the first full cohort, mentoring working professionals on Spark, Flink, Airflow, Debezium: Core data engineering concepts, Real-world system design, Batch & streaming architectures, Industry-grade best practices • Delivered hands-on Snowflake training covering architecture, data loading, Snowpipe/CDC concepts, data modeling, governance, RBAC, performance optimization, and real-world project implementation. • Helped mentees transition from tool-centric learning to system-level thinking

Data Engineering Head at barq, Jun 2023 - Sep 2025 · 2 yrs 4 mos, Riyadh, Saudi Arabia, Owned end-to-end data platform strategy, cloud architecture, cost optimization, and data reliability for a fintech business operating at scale. • Built and led the core Data Engineering & Analytics team (up to 6 members); owned hiring, delivery, and on-call reliability • Designed and owned a cloud-agnostic lakehouse platform (Delta Lake, Medallion Architecture) supporting analytics and product workloads • Implemented platform on OCI DataFlow and later migrated key business verticals to GCP Dataproc & BigQuery with minimal changes; Databricks-ready by design • Built an automated serverless ingestion and analytics pipeline using Cloud Run, Cloud Scheduler, and Cloud Composer to ingest vendor CRM support ticket data into Bigtable, performing low-latency batch aggregations (every 2 hours) with Dataproc and BigQuery to power real-time executive dashboards on Looker and Teableau. • Built a unified ingestion & replication framework (MySQL, Kafka, OracleDB, MongoDB → Delta Lake); scaled data lake to ~50 TB • Enabled production product features by loading curated lakehouse data into MySQL, avoiding expensive historical reprocessing • Led cross-functional launches with Product, Backend, and DevOps, ensuring zero data loss during cutovers (e.g., P2P & MUSANED metrics) • Enabled self-serve analytics via Gold-layer Delta tables and Tableau dashboards for Product & Analytics teams • Optimized query patterns and cluster usage, achieving ~75% infrastructure cost reduction • Developed Python/Django APIs for third-party data ingestion when backend bandwidth was constrained

Data Engineer Lead at Noon Payments at noon, Jan 2022 - Apr 2023 · 1 yr 4 mos, Dubai, United Arab Emirates, Led data engineering for a digital wallet and BNPL platform, bridging ecommerce data, credit risk, ML decisioning, and production systems. • Built the data platform from scratch on Azure Databricks for Noon Wallet, owning architecture, framework design • Designed and maintained a multi-source, multi-destination ingestion framework (MySQL, Kafka → Delta Lake on Azure Storage) supporting Wallet & BNPL workloads, utilised BitBucket ( git) for version control. • Integrated Noon Ecommerce data from GCP BigQuery and GCP Cloud Bucket into Wallet systems to enable Buy Now Pay Later (BNPL) credit products used GCP DataProc for some of the transformations • Worked closely with Ecommerce, Product, Risk, and multiple internal wings to align data requirements • Supported and validated ML models for BNPL (credit scoring, risk checks); owned end-to-end go / no-go data validations, utilising Azure Functions, Event Hub and Stream Analytics for real time Risk alerts • Implemented and automated RFM & customer tagging models using GCP BigQuery procedures; published outputs to MySQL for production APIs • Enabled data pipelines that directly powered credit decisioning and product features, not just analytics, created DBT models for transformation for semantic layer.

Lead Data Engineer at Junglee Games, Jan 2019 - Jan 2022 · 3 yrs 1 mo, Gurugram, At Junglee Games, I worked on building and scaling the data foundation for gaming analytics and revenue intelligence. I designed and implemented ETL pipelines to replicate data from SQL Server to AWS S3 and Redshift, enabling reliable and scalable analytics for game and financial data. I also designed event-level and financial data schemas for new games, defining what events should be logged and how they should be stored to support analytics, reporting, and alerting through a centralized data warehouse and Tableau. In addition, I worked on Customer Lifetime Value (CLV) modeling, using historical user behavior to forecast future revenue and incorporating retention, acquisition, and churn signals to support business and product decision-making. I Designed the event taxonomy and analytical data model for new games (PoolKing and Carrom), implementing a Snowflake-based data lake using native Snowflake CDC pipelines from MySQL. Established data governance, role-based access control (RBAC), and secure data access for analytics teams. Also Enabled Dataset versioning through DBT, used DBT’s native tool for CI/CD This role strengthened my experience in data platform design, gaming analytics, and revenue-driven data use cases at scale.

Education

Bachelor of Technology (B.Tech.), Electrical Engineering, Indian Institute of Technology, Delhi

Master's Degree, Information and Communication Technology, Indian Institute of Technology, Delhi