data engineering , snowflake , Ml, Databricks, Java, Grafana, Pyspark, Kafka, cloud, Gcp, Splunk, Memcached, Data Governance, Dynatrace, AWS, Redis, Python, Azure, Spark, NoSQL databases, Airflow, Temporal, Ai, Azure OpenAI, data lake architectures, AWS Bedrock, vector stores, Apache Iceberg

.NET, snowflake , Github, SQL Server, Json, Informatica, Jira, Angular, Typescript, Confluence, Xml, Restful Apis, Python, Control-M, Gurobi

Pyspark, Database Design, Scrum, Jira, Data Warehousing, Sdlc, Git, Data Integration, Agile, Python, AWS, Azure DevOps, DataLake, Data Analysis, DataOps Engineering, EDW methodologies, Lakehouse

snowflake , Java, Aws Lambda, Pytest, PostgreSQL, Pyspark, SQL Server, Sql, Devops, Git, Pandas, Rest Apis, Oracle, Python, AWS, Airflow, AWS EMR

Git, Data Modeling, Data Warehousing, Sql, Python, ELT, Etl, Generative AI

snowflake , Data Quality, Databricks, Data Lineage, Data Governance, Azure Data Factory, Azure, Data Transformation, data acquisition, ETL concepts, data engineering principles

Apache Airflow, Apache Spark, Python, Sql

Spark SQL, Performance Tuning, Pyspark, SQL Server, Azure Synapse, Databricks, Microsoft Azure, CI CD for data pipelines, Lakehouse concepts, Troubleshooting, Azure SQL SQL Managed Instances, Infrastructure-as-code concepts, Git-based development