Databases, Data Security, Aws Services, Data Warehousing, Data Architecture, Sql, Jenkins, Data Governance, ETL data processing, AWS cloud development, Python programming language, data product management, GitLab CI, NoSQL Databases, CI CD tools, Data consumption patterns, Data Processing, Data pipelines, On-prem and Cloud based systems

Data Modeling, Sql, ETL pipelines

BigQuery, Python, Sql, dbt, Alembic, Big Data Engineering

Hadoop Ecosystem, Pyspark, Azure Databricks, Data Modeling, Azure Synapse Analytics, Data Lake, Python, Azure DevOps, Spark SQL, Data Security, Scala, Sql, Spark, lakehouse, Azure Data Lake Storage ADLS Gen2, Log Analytics, HDInsight, encryption in Azure, distributed data processing frameworks, data warehouse architectures, Azure-native data services, Azure Data Factory ADF, rbac, CI CD pipelines, ETL ELT design patterns, Azure Monitor

snowflake , Java, S3, Hadoop, Scala, Kafka, Redshift, Sql, Azure Data Factory, Spark, Databricks, Python, AWS, Google Cloud BigQuery, Synapse, Glue

Git, Gcp, Pyspark, Databricks, Azure, Sql, AWS, ELT, Etl, Delta Lake

Docker, Elasticsearch, Python, agentic workflows MCP, AWS cloud services, MLOps tooling, LLM?based GenAI, RAG pipelines, CI CD, OpenSearch

object storage , snowflake , Scala, Pyspark, PostgreSQL, Kafka, Sql, Nosql, Stash, Jenkins, Git, Openshift, Spark, Kubernetes, AWS, Flink, Iceberg, data lakes, MinIO