data engineering , pipeline construction , Logging, Data Modelling, Sql, Devops, Backend Development, Rest Apis, Etl, SLIs, Git workflows, deployment automation, containerisation, alerting, data quality validation, frontend frameworks, integration patterns, incident response practices, SRE fundamentals, Monitoring, ELT flows, infrastructure-as-code, CI CD pipelines, reliability concepts, SLOs, full stack engineering

Java, Jms, Unix, Hibernate, Linux, MySQL, J2EE, Json, Oracle, Spring

Java, Openshift, Spring Boot, Kafka, Microservices, REST, MS SQL, RDBMS, JUnit, Reactjs, Cicd, MongoDB, Jacoco, Oracle, K8S, NoSQL Databases

Distributed Systems, Spring Boot, Sql, Microservices, Nosql, Rabbitmq, Gcp, Terraform, Agile, Scrum, AWS, Java JDK 17, CI/CD, Kong, Observability

PowerShell, Bash Scripting, Sql Scripting, Cegid

Graphql, Sql, Django, Devops, REST, MySQL, Elasticsearch, Load Balancers, FastAPI, Python, AWS, message queues, API communication patterns, time-series databases, asynchronous processing, GRPC, Caching, CDNs

.NET, Java, Design Patterns, Debugging, Containers, Json, Oop, Docker, Xml, Python, REST-based web services, Messaging queues, NoSQL databases, Data Mapping, Microservices architecture, Problem-solving

Elk, PostgreSQL, Grafana, Redis, Streaming, Data Governance, Python, ClickHouse, Go, Security, GraphQL APIs, infrastructure-as-code, CI/CD, data lakehouse concepts