data engineering , Machine Learning, Software Development, engineering leadership, Microservices Architecture, organizational design, Stakeholder Management, OSS Contribution

snowflake , containerization , Data Warehousing, Docker, Terraform, AWS, Devops, Software Engineering, Gcp, MLops, Spark, Databricks, Azure, Kubernetes, data analytics platforms, BI tooling, AI ML systems, Cloud and DevOps, CrewAI, LangChain, People and Performance Management, Looker, AutoGen, infrastructure-as-code, dbt, CI CD pipelines, AI Agentic AI

Elk, Prometheus, Grafana, Datadog, Kubernetes, GitHub Actions, OpenTelemetry, Amazon EKS, Observability systems, CI CD platforms

Java, S3, Logstash, Spring Boot, Grafana, Sql, Elasticsearch, Lambda, Ec2, Spark, Etl Tools, AWS, ClickHouse, OpenSearch

Java, React, Graphql, Docker, Kafka, Spring Boot, Node.JS, Kubernetes, cloud platforms

data monetization , MLops, Data Governance, Kubernetes, AWS, API-first design, MCP servers, Data Mesh architecture, chaos resilience testing, cloud-native Data Platform services, IaC, agentic services, data streaming stacks, SDD, Gen AI solutions, observability

.NET, .NET core framework, Windows Services, Continuous Delivery, Cyber Security, HTML, Agile, React Js, Rest Apis, Iso 13485, Lean, FDA 21 CFR Part 820, DBS, Embedded Systems, Part 11

Java, Golang, Docker, Kubernetes, AWS, Microservices, Cloud-native architecture

Python, Kafka, MongoDB, OLAP/Data Pipelines, Apache Presto