S3, Cassandra, Kafka, Kinesis, Tdd, Big Data Technologies, Agile, AWS, Java, Scala, Sql, Hive, Gcp, Spark, Elastic Search, MongoDB, Azure, Hbase, Airflow, Flink, Luigi, HDFS, Azkaban, CI/CD, Spark-Streaming

data engineering , Java, S3, Hadoop, Scala, Big Data Technologies, Nodejs, Emr, Data Modeling, Redshift, Sql, Hive, Ec2, Spark, Python, AWS Tools, ETL pipelines

Gcp, Azure, Python, Sql, AWS, DataOps, dbt, Data engineering best practices, CI/CD, Data pipelines

snowflake , Github, BigQuery, Kafka, Node.JS, Kotlin, JIRA, Microservices, Git, Typescript, Confluence, Presto, MySQL, Functional Testing, Debugging, Postgres, Spark, Python, Etl, Druid, service-oriented architectures, RESTful API design, SQL databases

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

Technical Leadership, Gen AI, AI Architecture, Incubating GenAI Solutions, Generative AI, Data-driven recommendations, AI Architecture strategy and Assessment, Roadmap Building, operating model design

Data Factory, Power Bi, Sql, Spark, Data Governance, Databricks, Azure DevOps, ClickHouse, Microsoft Entra ID, Key Vault, ADLS Gen2, Unity Catalog, GitHub Actions, Microsoft Purview, rbac, dbt, Event Hubs, Delta Lake, Azure data services

Neo4j, Databricks, Python, MCP integration, pgvector, MCP prompt eval tooling, LLM cost governance, LLM orchestration, vector databases, RAG pipelines, graph stores

Google Cloud Platform (GCP), Hadoop Ecosystem, BigQuery, Scala, Apache Spark, Kafka, Dataproc, Data Modeling, ELT, Cloud Storage, DataFlow, Etl, Airflow, pipeline orchestration, Pub/Sub

data engineering , Google Cloud Platform, Digital Transformation, Cloud Migration, Data Quality, Data Warehousing, Microsoft Azure, Databricks, Data Governance, AWS, Etl, Data Lakes, Data Pipelines, Analytics, Advanced Analytics Platforms, Business Intelligence Reporting, ELT Frameworks