Sivakumar Ganesan — Director of Engineering

Data & AI Engineering Leader with 16+ years of experience building scalable, cloud-native, intelligent systems that power enterprise and SaaS products. Here’s what I bring: 🏗️ 16+ years in Data & AI Engineering Leadership Building large-scale, cloud-native, multi-tenant SaaS and enterprise platforms. 🧱 Architect of AI-ready Data Platforms Expertise across relational, NoSQL, graph, search, and hybrid data ecosystems (Aurora, DynamoDB, Cassandra, Neptune, OpenSearch). ⚙️ Led monolith → 50+ microservices transformation Achieved zero major downtime using the strangler pattern and hybrid data designs. 🤖 Practical GenAI & Intelligence Systems Built RAG pipelines, knowledge graphs, vector search, and LLM-powered assistants for R&D and enterprise workflows. 🧪 Delivered high-impact platform features Worksheet, Notebook, Reports, Tasks — enabling real-time scientific collaboration, documentation & automation. 👥 Led and mentored high-performing engineering teams Managed 15+ engineers across Backend, Data, Search, QA & DevOps to deliver at high velocity. 🔄 Expert in data migration, reliability & automation Designed cross-store migrations, automated operational workflows, and built tools like CABRES. 📈 Improved platform performance at scale Achieved 99.9%+ uptime, cut operational overhead by ~40%, and increased delivery velocity by ~30%. 🤝 Strong product & business alignment Partnered with C-suite and product leaders to align Data, AI, and platform strategy with business outcomes. 🚀 Passionate about AI-native systems Focused on building scalable, explainable, intelligent architectures that accelerate product innovation.

Stackforce AI infers this person is a SaaS Data Engineering Leader with expertise in microservices and AI-driven architectures.

Location: Chennai, Tamil Nadu, India

Experience: 16 yrs

Skills

Microservices
Aws
Rag
Llm
Knowledge Graphs
Neptune
Data Migration
Data Architecture
Data Modeling
Mongodb
Cassandra
Automation
Sql
Nosql

Career Highlights

Led transformation to microservices with zero downtime.
Architected AI-ready data platforms for enterprise solutions.
Mentored engineers, enhancing team performance and culture.

Work Experience

Albert Invent

Director of Customer Engineering (2 mos)

Director of Engineering (2 yrs 8 mos)

Staff Engineer Database (2 yrs)

IBM

Database Architect (11 mos)

Cognizant

Senior Associate (Team Lead) (4 yrs 3 mos)

DXC Technology

Database Engineer (3 yrs)

Capgemini

Associate Consultant (2 yrs 11 mos)

Education

Bachelor of Engineering (B.E.) at M.Kumarasamy College of Engineering

Sivakumar Ganesan

Director of Engineering

Chennai, Tamil Nadu, India16 yrs experience

Most Likely To SwitchAI ML Practitioner

Key Highlights

Led transformation to microservices with zero downtime.
Architected AI-ready data platforms for enterprise solutions.
Mentored engineers, enhancing team performance and culture.

Stackforce AI infers this person is a SaaS Data Engineering Leader with expertise in microservices and AI-driven architectures.

Contact

Skills

Core Skills

MicroservicesAwsRagLlmKnowledge GraphsNeptuneData MigrationData ArchitectureData ModelingMongodbCassandraAutomationSqlNosql

Other Skills

Amazon Web Services (AWS)Hybrid data architectureRetrieval-Augmented Generation (RAG)Large Language Models (LLM)Amazon NeptuneAWS LambdaDirector levelProduct ManagementAgile Project ManagementSoftware as a Service (SaaS)Role-Based Access Control (RBAC)Extract, Transform, Load (ETL)AIEngineering LeadershipDomain Architecture

About

Experience

Albert invent

3 roles

Director of Customer Engineering

Jan 2026 – Present · 2 mos · Hybrid

Responsible for leading customer engineering initiatives by bridging customer needs with product and engineering teams.
Focus areas include customer data onboarding, analytics enablement, customisations, automations, and complex system integrations.
Partner closely with customer-facing teams to understand business challenges and translate them into scalable technical solutions.
Ensure smooth customer adoption, reliable implementations, and continuous feedback into product improvements.
Leverage deep experience across database architecture, distributed systems, and platform engineering to solve end-to-end customer problems while maintaining high standards of quality, performance, and scalability.
Drive collaboration across engineering, product, and customer success teams to deliver impactful outcomes and long-term customer value.

Director of Engineering

Promoted

Apr 2023 – Dec 2025 · 2 yrs 8 mos · Hybrid

Led 15+ engineers across Backend, Data, Frontend, QA & DevOps, driving platform architecture, delivery velocity, and large-scale technical initiatives.
Directed the monolith → 50+ microservices transformation and hybrid data architecture (DynamoDB, Aurora, Neptune, OpenSearch) with zero major downtime using the strangler pattern.
Architected multi-tenant SaaS platform foundations including advanced RBAC, tenant isolation, and scalable data-access patterns.
Built internal RAG pipelines and LLM-powered assistants for search, documentation retrieval, experiment suggestions, and developer productivity.
Designed and deployed Knowledge Graph models in Amazon Neptune to improve experiment traceability, data lineage, and contextual intelligence for R&D workflows.
Delivered major product modules — Worksheet, Notebook, Reports, Tasks — enabling real-time collaboration, rich documentation, analytics, and lab automation.
Led Quality Engineering and drove UI/API automation, improving release confidence and increasing automated coverage by 40%+.
Mentored engineers into leads/architects, strengthened engineering culture, and improved feature rollout speed by ~30% through deep technical coaching.
Played a pivotal role in maturing Albert into a world-class, data-driven, multi-tenant SaaS platform.

MicroservicesAmazon Web Services (AWS)AWS

Staff Engineer Database

Mar 2021 – Mar 2023 · 2 yrs · Hybrid

Architected and implemented data models across Aurora MySQL, DynamoDB, and Amazon Neptune, enabling scalable, cloud-native data workflows.
Led end-to-end data migration across heterogeneous stores (MySQL → DynamoDB/Neptune), ensuring zero major downtime through a carefully designed strangler pattern.
Directed a 15-member cross-functional engineering group (Frontend, Backend, Data, Search, QA), resolving complex platform issues and bridging teams during the monolith-to-microservices transition.
Played a key role in transforming Albert into a multi-tenant SaaS platform, including design of sophisticated RBAC and tenant isolation models.
Spearheaded the migration of a legacy monolithic system into 50+ microservices, while shifting from a single MySQL datastore to a hybrid data architecture (DynamoDB primary, Aurora MySQL secondary, OpenSearch for indexing).
Built continuous data-sync pipelines between old and new systems, ensuring near-zero service disruption and enabling a seamless progressive rollout.
Improved data scalability and reliability, contributing to major performance gains and faster product iteration cycles.

AWS LambdaMicroservicesAWS

Ibm

Database Architect

Apr 2020 – Mar 2021 · 11 mos · Tamil Nadu, India

Designed and optimized MySQL and MongoDB data models for high-transaction, large-scale applications, improving query efficiency by 25–40%.
Architected scalable database schemas, indexing strategies, and sharding approaches to support rapid application growth.
Implemented performance tuning (slow query analysis, indexing, caching), reducing critical query latency by 30%+.
Partnered with application and product teams to translate business needs into robust, scalable data designs.

Data ArchitectureData Modeling

Cognizant

Senior Associate (Team Lead)

Jan 2016 – Apr 2020 · 4 yrs 3 mos · Chennai Area, India · On-site

Managed 200+ MongoDB & Cassandra databases across on-prem and AWS, delivering 99.95% uptime and enterprise-grade reliability.
Designed and implemented high-availability & scalable architectures in both on-prem and cloud (AWS EC2, EBS, autoscaling patterns).
Led SQL → NoSQL migration initiatives, including data-model redesign, performance tuning, and production cutover.
Partnered with business teams to design domain-driven NoSQL data models, improving query performance and scalability by 30–40%.
Built CABRES, an automated “Cassandra Anytime Backup & Restore” solution, reducing recovery time by ~70% for a major education client.
Automated 40+ operational activities (backups, compaction, capacity checks), reducing manual effort by 60%.
Led and mentored a 5-member team, transforming SQL engineers into NoSQL specialists — marking transition from engineer to architect + people leader.

MongoDBAmazon Web Services (AWS)AWS

Dxc technology

Database Engineer

Nov 2012 – Nov 2015 · 3 yrs · Tamil Nadu, India · On-site

Managed 300+ Oracle and MongoDB databases across production and non-prod environments with 99.9% availability.
Automated 50+ recurring DBA tasks (backups, health checks, indexing, log cleanup, monitoring), reducing manual workload by ~60%.
Built scripts and utilities for proactive monitoring, improving issue detection speed by ~40%.
Optimized queries, indexing, and storage configurations, improving database performance by 20–30% for key applications.
Led day-to-day operations, patching, and release support, improving deployment reliability and reducing incidents by ~25%.

SQLNoSQL

Capgemini

Associate Consultant

Dec 2009 – Nov 2012 · 2 yrs 11 mos · Chennai, Tamil Nadu, India · On-site

Managed 20+ enterprise Oracle & SQL Server databases for insurance clients with 99.9% uptime and optimized performance.
Built a custom ETL migration tool (Oracle → DB2) enabling 100% schema coverage, full + incremental loads, and reducing manual migration effort by ~70%.
Developed 30+ automation scripts (shell + SQL stored procedures) for data migrations, validation, and status/metric reporting.
Delivered cross-platform data migration support and collaborated with onsite/offshore teams to ensure smooth releases.