Senthilkumar Paramathma

CEO

Bengaluru, Karnataka, India17 yrs 2 mos experience

Key Highlights

15+ years in engineering leadership roles.
Expert in microservices and cloud technologies.
Proven track record of optimizing costs and improving system performance.

Stackforce AI infers this person is a Cloud and Data Engineering expert in E-commerce and Healthcare industries.

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Skills

Core Skills

MicroservicesCloud TechnologiesData Engineering

Other Skills

AWSAWS (EC2, S3, Lambda, RDS, IAM)AWS EMRAWS LambdaAgile MethodologiesAirflowAngularJSAnsibleApache AirflowApache KafkaApache SparkArchitectural DesignArchitecture ReviewsBitbucketC#

About

Engineering leader with 15+ years of experience designing and scaling high- throughput distributed systems and delivering cloud native solutions across industries including e-commerce, finance, healthcare, and legal tech. Deep expertise in microservices architecture, real-time data platforms, and cloud technologies (GCP, AWS). Led the development of mission-critical systems processing millions of daily transactions, optimized cloud costs at scale, and modernized legacy platforms through monolith-to-microservices transformations. Skilled at building and mentoring high-performing cross-functional teams and aligning engineering strategy with business outcomes. Engineered large-scale, high-impact platforms for globally recognized enterprises including Lowe’s, Citibank, Ally Bank, 3M, and LexisNexis. Passionate about innovation, engineering excellence, and developing the next generation of technical leaders.

Experience

17 yrs 2 mos

Total Experience

3 yrs 5 mos

Average Tenure

Current Experience

Quinbay

Software Engineering Manager

Dec 2022 – Oct 2025 · 2 yrs 10 mos · Bengaluru, Karnataka, India · On-site

Led a 15+ member cross-functional team (Frontend, Backend, DevOps, QA) to design and deliver scalable Order Fulfilment Systems for a high-volume e- commerce platform.
Provided hands-on leadership in architecture, core service design, and high- impact code reviews to ensure performance and maintainability.
Scaled distributed Warehouse Systems to handle 1M+ orders/day, doubling SLA capacity during peak sales events.
Designed a high-efficiency Picking microservice, improving operational throughput and increasing revenue by 20% within 6 months.
Architected and implemented microservices on GKE using Java, Spring Boot, Kafka, Postgres, and MongoDB, achieving 99.99% system uptime, reducing incident rates by 35%, and maintaining p95 response times under 2 seconds, enhancing platform stability and improving user satisfaction.
Designed and developed a real-time Warehouse Analytics pipeline for order visibility (picking, packing, shipping) using GCP Pub/Sub, Cloud Storage, Big Query, enabling operations teams to track 1M+ daily orders and reduce order cancellation by 40%
Optimized Kubernetes resource usage for Java microservices, saving $200K/month in cloud costs without impacting reliability.
Implemented Canary deployments in CI/CD pipeline, increasing release frequency 4× (monthly to weekly) and reducing change failure rate from 30% to 10%.
Mentored engineers through structured 1:1s, OKRs, and career development frameworks, driving skill growth and internal promotions.
Tech Stack: Java, Spring Boot, Kafka, Postgres, MongoDB, GCP (Pub/Sub, BigQuery, Cloud Storage), GKE, Jenkins, Helm, Redis, ELK, Prometheus, Grafana, Datadog, Jira, Confluence, Bitbucket

JavaSpring BootKafkaPostgresMongoDBGCP (Pub/Sub, BigQuery, Cloud Storage)+13

Lowe's companies, inc.

Software Engineering Consultant

Aug 2020 – Sep 2022 · 2 yrs 1 mo · Charlotte, North Carolina, United States · On-site

Led a 10-member engineering team to modernize Product Management systems for a large-scale retail/e-commerce platform.
Re-architected the Product Catalog from monolith to microservices, enabling 10× scalability and supporting 10M+ SKUs.
Integrated ML pipelines for automated product approvals (attributes, images), cutting manual effort and reducing go-live time to 24 hours.
Designed and delivered microservices on GCP using Java, Spring Boot, Kafka, MongoDB, Kubernetes ensuring 99.99% uptime and maintaining p95 latency under 2 seconds with 5,000+ concurrent requests.
Partnered with PMs and designers to modularize legacy features, improving service responsiveness and maintainability.
Mentored engineers through structured coaching and onboarding, reducing ramp-up time by 30% and improving backend hiring quality
Tech Stack: Java, Spring Boot, GCP, Kafka, Postgres, MongoDB, Redis, Cloud Spanner, Jenkins, Spinnaker, Terraform, Ansible, Python, ELK, Prometheus, Grafana, New Relic, RabbitMQ

JavaSpring BootGCPKafkaPostgresMongoDB+14

Teletracking

Senior Software Development Engineer

Nov 2017 – Aug 2020 · 2 yrs 9 mos · Pittsburgh,PA · On-site

Led a 6-member data engineering team to build scalable AWS-based streaming pipelines supporting real-time clinical data.
Reduced pipeline latency by 60%, enabling near real-time clinical dashboards for hospital operations.
Architected and implemented streaming pipelines using Kafka, Spark, Airflow, and Snowflake, improving clinical data report reliability by 40% and scaling data throughput to process over 10 million events daily with 99.9% accuracy.
Automated AWS infrastructure provisioning using Terraform and Ansible, reducing environment spin-up time from 2 hours to under 15 minutes and ensuring consistent, repeatable deployments across staging and production.
Collaborated with data scientists to deliver low-latency analytics, accelerating hospital capacity planning.
Developed and maintained Java-based multi-tenant healthcare applications, ensuring secure and compliant data access across clients.
Tech Stack: Java, Python, AWS (EC2, S3, Lambda, RDS, IAM), Kafka, Spark, Snowflake, Airflow, Terraform, Ansible, Jenkins

JavaPythonAWS (EC2, S3, Lambda, RDS, IAM)KafkaSparkSnowflake+6

Cognizant

Lead Software Engineer

Oct 2009 – Oct 2017 · 8 yrs · United States

Delivered secure, scalable enterprise applications for clients including LexisNexis, Citibank, Ally Bank, and 3M, supporting millions of users and reducing downtime by 30%.
Led and mentored an 8-member full-stack development team building user- centric apps with Java, .NET, AngularJS, and SQL Server, improved feature usability by 40% and reduced onboarding time by 25%.
Built batch processing pipelines and large-scale reporting systems, improving data accessibility by 50% and reducing report generation time from hours to minutes.
Designed and implemented REST APIs with p95 response times under 2 seconds, ensuring high system responsiveness.
Migrated legacy systems and streamlined workflows in collaboration with architects and stakeholders, improving reliability by 35%.
Promoted engineering best practices through rigorous code reviews and Agile processes, reducing bug rates by 20% and doubling release frequency.

Nucleus software exports limited

Senior Software Engineer

Apr 2008 – Oct 2009 · 1 yr 6 mos · Chennai Area, India

Developed core banking applications using VB.NET, C#.NET, ASP.NET, Oracle, and SQL Server, achieving 99.99% uptime and supporting millions of daily financial transactions.
Optimized complex stored procedures and high-volume database operations, improving performance by 60% and transaction throughput by 50%.
Delivered secure, scalable, and compliant financial systems in collaboration with BAs and QA teams, contributing to 100% audit success.