Amit Garg — Director of Engineering
Masters in Computer Science & AWS Certified, Technology Evangelist & leader offering 21 years of Transformational Leadership in driving Futuristic IT / Digital Ecosystems / Data Management /Big Data/GenAI & AI/ML Platform Architecture, Technology Roadmaps, Program Management, Data Lakes, Data Quality & Security Improvement for making organizations-future ready. Helming Technical Direction & Vision in delivery of targeted improvements, modernization, driving change, advising ‘C’ level Executives on Data & AI Transformation Journey. ► Data & AI Platform Strategy defining company’s Data & AI platform strategy. Translating business objectives into Data & AI opportunities. Designing a cloud native, Scalable and robust Modern Data & AI Platform architectures. Working with Infosec and Privacy teams to stay enterprise ready and regulator proof. ► Built High impact teams from ground up. I established engineering hubs from scratch by hiring and scaling teams from 0 to 30+ with few months which accelerated platform delivery velocity by 40%. ► Delivered AI driven cost optimization leading GenAI integration across platform operations, increasing engineering productivity by 25% and reducing overhead by 35% resulting faster deliver cycle and multi million dollars savings. ► Enabling Data driven Transformation – Unifying siloed data systems into a single-source-of-truth architecture, Implemented Master Data Management(MDM) to ensure consistency & accuracy while improving access to real-time business intelligence. ► Domain Expertise: Healthcare Med Tech, Commercial Finance, Retail, Oracle ERP, Salesforce, HR & Ecommerce Data ► Built Data & AI/LLM Gateway using latest technologies like Kubernetes, Istio, Karpenter, Redis,Apache Flink, Elasticsearch, Kibana, Apache Spark, Kafka, Postgres, Snowflake, Airflow, AWS Glue, Sagemaker on AWS to deliver Data Science and Analytics platform Solutions. Managing CI CD and Observability Dev ops Platform. ► Translating Data & Analytics Solutions into Business & Customer Intelligence using latest AI & Data Science Algorithms and Models; Migrated and set up New Data Warehouse/Data Lake from On-Prem to AWS Cloud ► AWS Cloud Technologies (EC2, Redshift, S3, Glue, Snowflake,SNS, Kafka, Flink, Serverless Lambda) running 5 PB Data Lake using 200+ nodes of the cluster ► Full stack Framework – React, Java, Python, Microservice Architecture, Event Driven Architecture. Experienced in Platform Observability including Dev ops, ML Ops and Data Platform Ops.
Stackforce AI infers this person is a Data and AI Strategy Leader in the Healthcare and Finance sectors.
Location: Bengaluru, Karnataka, India
Experience: 21 yrs 9 mos
Skills
- Data Science
- Artificial Intelligence (ai)
- Data Management
- Big Data Analytics
Career Highlights
- 21 years of transformational leadership in IT and digital ecosystems.
- Expert in building high-performing teams and enterprise-scale solutions.
- Proven track record in AI and data-driven transformation.
Work Experience
Zinnia
Director of Software Engineering (6 mos)
ResMed
Head of Engineering ( Data & AI/ML Platform Engineering solutions) - India Technology Hub (2 yrs 10 mos)
Twilio Inc.
Director - Corporate Data & Analytics & AI/ML Platform - India Development Centre (2 yrs 2 mos)
GE
Sr. Manager - Data & Analytics COE (4 yrs 4 mos)
Praxair
Principal Architect / DWBI Technical Manager (2 yrs 1 mo)
iGATE
Business Intelligence Solutions Architect (6 mos)
GE Capital
BI Solutions Technical Project Lead (OBIEE 11g and TIBCO Spotfire 4.5/5.0) (2 yrs 4 mos)
Amazon.com
Data Engineer II (5 mos)
RealNetworks
Oracle BI Apps/OBIEE/ETL/Informatica Developer (2 yrs 5 mos)
AT&T
OBIEE/ETL Developer (6 mos)
vCustomer
Sr Software Developer/Engineer (2 yrs 5 mos)
Human Software Systems
Software Engineer (1 yr 3 mos)
Education
Master Of Science at Binghamton University
B.Tech at Chaudhary Charan Singh University (CCSU), Meerut
Master's degree at Binghamton University