Sathish Kumar Mariappan

Lead / Senior Full Stack Software Engineer with 7+ years of experience building scalable internal tools, enterprise applications, automation platforms, and cloud-native systems. Strong expertise in Angular React, TypeScript, Node.js, .NET, REST APIs, Python, data processing, and AI-driven product development. Proven ability to collaborate with HR, Strategy, Analytics, and leadership stakeholders to deliver high-impact business solutions quickly. Experienced in rapid prototyping, dashboards, workflow automation, cloud deployment, CI/CD, and iterative product delivery. Based in Berlin and available immediately.

• Tamil
• English
• Malayalam
• Hindi

• Customer-Centric
• Adaptability
• Analytical Thinking
• Attention to Detail
• Communication Skills
• Problem-Solving
• Leadership Qualities

• Data Engineering and building ETL pipelines
• Build Data Visualization dashboards
• Scalable and cloud based ETL Architectures
• Real‑Time & Batch Data Pipelines
• Test-Driven Development (TDD)
• Site Reliability, Production support and Maintenance
• Infrastructure as Code (IaC)
• CI/CD Pipeline Design
• SRE & Observability Practices
• Agile & Scrum Methodologies
• Version Control with Git
• Customer-Centric Product Engineering
• Cross-Functional Team Collaboration
• Strong Analytical & Problem-Solving Abilities
• Communication & Leadership Skills

• Got a notable appreciation from the Client and was awarded Star of the Month (07/01/21) for Stormy Check Automation which significantly reduced the expenses for each quarter.
• Was awarded 'On Spot' award by TCS for quick development on the Simulcast changes (09/01/21).
• Was awarded multiple on-spot awards in LTIMindtree for continuous contribution towards the project.
• Was awarded Star of the Month (07/01/23) at LTI Mindtree for significant productivity
• Was Awarded Excellence Engineering award for my initiative towards codeless architecture in Athena Health during the month December 2024
• Won the Best Collaborator award in the Athena hackathon(March 2025) for providing the best PI, which proposed a saving of around $70,000 per year in the removal of legacy scripts and to automate the data regression pipelines
• Was Awarded best team player for the month June 2025 in Athena Health

Perishable Inventory Management Dashboard (Power BI) (Retail)

• Objective:
  Enable small‑scale retailers to move from manual spreadsheets to an interactive, data‑driven approach for tracking, forecasting, and replenishing perishable stock—minimizing waste and stock‑outs.
• Solution:
  Developed a Power BI analytics dashboard that:
  Ingests sales, spoilage and supplier data via Power Query
  Models it into a star schema (fact “Sales” table + “Products,” “Suppliers,” “Calendar” dimensions)
  Defines dynamic DAX measures for spoilage rates, sales velocity, and turnover gaps
• Key Features:
  Real‑Time Expiry & Stock Alerts: Automatic low‑stock and impending‑expiry warnings, delivered via Power BI subscriptions or mobile alerts.
  Spoilage Analytics: Interactive treemaps and bar charts showing spoilage cost by category and product, plus “spoilage‑to‑sales” efficiency matrices.
  Time‑Series Demand Forecasting: Built‑in line charts and heatmaps slicing by day‑of‑week and season to expose peak demand periods.
  Supplier Performance Comparison: Clustered visuals comparing sales volume vs. spoilage rate for national vs. local suppliers.
  Promotion ROI Dashboard: Scatter plots correlating discount levels with sales lift and post‑promo spoilage “echo.”
  Turnover Gap Heatmaps: Matrix visuals of Days‑in‑Stock distributions to flag slow‑moving SKUs.
• Technologies Used:
  Power BI (Power Query & DAX), CSV/Excel data sources (POS exports), Azure SQL (or local SQL Server), Power BI Service for sharing and mobile notifications.

Real‑Time E‑Commerce Personalization via Hybrid Recommendation Engine (Retail)

• Objective:
  Overcome the limitations of static, batch‑mode recommenders by delivering highly relevant, context‑aware product suggestions in real time—boosting engagement and conversion on e‑commerce platforms.
• Solution:
  Designed and prototyped a hybrid recommendation architecture that seamlessly ingests streaming user interactions, updates models on the fly, and serves low‑latency predictions through a scalable pipeline.
• Key Features:
  Streaming Data Ingestion: Captures clickstreams, searches, add‑to‑cart events, and purchase logs via Apache Kafka for immediate processing.
  Explainable Recommendations: Generates feature‑level attributions (via attention scores) so stakeholders can interpret “why” an item was suggested.
• Technologies Used:
  Data & Streaming: Apache Kafka, Apache Flink (or Spark Streaming), Redis/Feast feature store
  Modeling: Python, StreamLit
  Deployment: Docker, AWS Lambda for realtime scoring
  Evaluation & Monitoring: Grafana dashboard

• English
• Telugu
• Tamil
• Hindi
• German(Pursuing)

• Mentored junior engineers through code reviews, technical guidance, and best practices adoption.
• Promoted clean coding standards, reusability, and maintainability across shared codebases.
• Engaged in cross-team collaboration and contributed to engineering community initiatives.

• Delivered an AI-powered internal reporting solution using n8n + Jira + GitLab + Slack + Confluence, generating automated daily summaries that improved leadership visibility and cross-team execution transparency.
• Embedded Copilot Reviewer into CI/CD pipelines, reducing review turnaround time and increasing deployment confidence through AI-assisted code validation.
• Built and maintained Model Context Protocol (MCP) servers integrating Git repositories, Confluence, Jira, Snowflake, Product Swagger APIs, New Relic, Cortex, and Snyk to improve engineering context sharing, observability, security awareness, developer productivity, and AI-assisted workflows.

• Received the Spot Award for Outstanding Contributions to 21C Product Deliverables at Greenway Health.
• Twice honoured with the 'Star of the Month' Award in 02/22 and 08/22 by Greenway Health.
• Winner of the Innovation Award at the Smart India Hackathon 2018 Software Edition, presented by the Ministry of Human Resource Development, Government of India.
• Ranked among the Top 5 finalists in the Smart India Hackathon 2018 Hardware Edition.
• Guided a team in the research, proof of concept, and implementation of HL7 USCDI standards in a patient-facing application.

• Backend: .NET (C#), Node js/TypeScript, Python, FastAPI, Microservices
• Frontend : Angular (v8+), React, State Management, MVC Pattern
• Cloud Platforms: AWS (Lambda, ECS, S3, API Gateway, DynamoDB, CloudWatch), Azure (App Services, Cosmos DB)
• Databases: SQL (PostgreSQL, MySQL, Snowflake), NoSQL (MongoDB, DynamoDB)
• AI: MCP Servers for Internal context providers, AI code Review, SpecKit, N8N, AI Buddy Programing
• DevOps & Automation: GitLab CI, GitHub Actions, Jenkins, Terraform, CloudFormation
• Architecture Patterns: SOLID principles, Design Patterns, Microservices, Serverless, Event-Driven Systems, Microservices and MicroFrontend
• Observability & Monitoring: AWS CloudWatch, New Relic, PagerDuty, Cortex Scorecards
• Testing & Documentation: NUnit, xUnit, Moq, Karate, Postman, Swagger/OpenAPI

• Tamil
• English
• Malayalam
• Hindi

• Customer-Centric
• Adaptability
• Analytical Thinking
• Attention to Detail
• Communication Skills
• Problem-Solving
• Leadership Qualities