Distributed Systems, Ios Application Development, consumer-facing products, Team Leadership

data engineering , snowflake , Databricks, Emr, Lambda, Kafka, Etl, Cloudformation, Data Warehousing, Terraform, S3, ELT, Big Data Technologies, Apache Airflow, Data Modeling, Data Governance, Kinesis, AWS, Kubernetes, Metadata Management, Docker, Redshift, Spark, multi-dimensional modeling, dbt, Prefect, data quality frameworks, Glue, infrastructure-as-code, data cataloging, BI dashboarding tools

data engineering , Kafka, Azure Data Factory, Azure Synapse Analytics, Spark, Databricks, Dax, Python, Azure DevOps, Purview, R, Microsoft Fabric

Python, Google Cloud for production applications, JS frameworks like React or Next, AI tools, CI CD processes, Architectural or distributed systems experience

Django, Machine Learning, Microsoft Azure, Django Rest Framework, Automated Testing, Python, Kubernetes, generative AI, SRE principles, observability

Java, Apis, Kafka, Spring Boot, Cloud Technologies, Microservices, React, Gcp, Docker, Azure, Kubernetes, AWS, CI CD

Java, Unix, React, Javascript, MySQL

.NET, .Net Core, Web Api, Asp.net Mvc, PostgreSQL, Spring Boot, Nosql, MySQL, Entity Framework, Java Spring, Oracle, AWS, Java, Hibernate, SQL Server, Sql, Gcp, Restful Services, MongoDB, Rest Apis, Azure, Microservices architecture, DevOps practices, Cloud platforms

Java, Node.js, Vue.JS, Docker, Distributed Systems, Kubernetes, production-grade backend systems, SaaS environments, microservices design, modern CI CD pipelines, backend architecture, modern frontend frameworks