data engineering , data warehouses , snowflake , Data Architecture, Kafka, Data Modeling, Informatica, Docker, Terraform, Python, AWS, Java, BigQuery, Cloudformation, Sql, Gcp, Data Integration, Kubernetes, Airflow, lakehouses, Pub Sub, data lakes, API microservices, dbt, cloud platforms

amazon emr , snowflake , Amazon S3, PostgreSQL, AWS Glue, Terraform, MySQL, Oracle, Python, AWS, Aws Lambda, Amazon Kinesis, SQL Server, Apache Spark, Sql, Amazon Redshift, AWS IAM, AWS CloudFormation, Databricks, Apache Iceberg, Amazon Athena, AWS Lake Formation, Apache Hudi, Delta Lake

data engineering , Pyspark, ELT, Nlp, Data Architecture, Siem, Python, AWS, Vulnerability Management, Power Bi, Sql, Git, Data Quality, Databricks, Threat Intelligence, Etl, RAG embeddings, knowledge graphs, CI CD, responsible AI, metadata lineage, Cloud Data Platforms, security telemetry, observability, vector semantic search, LLMs, AI GenAI, SOAR, Delta Lake, identity risk, incident data

Uml, PostgreSQL, Dynamo Db, SQL Server, Erd, AWS, Data migration and transformation concepts, Metadata management and data lineage practices

Azure Security, Design Patterns, Data Governance, OneLake, data lifecycle management, Microsoft Entra ID, Warehouse, Monitoring, networking integration, performance optimisation, enterprise identity patterns, LLDs, technical governance, HLDs, Lakehouse, Microsoft Fabric architecture, cost management, architecture standards, Direct Lake semantic models

Large Language Models (LLMs), Generative AI, Data integration solutions, Databricks Unified Data Analytics Platform, Data modeling techniques, Cloud-based data platforms, Distributed computing environments

enterprise data modeling , snowflake , , AWS, ELT, Etl, Data Warehousing, Data Governance, Azure, Cloud Data Platforms

Databricks, Agile, Prince2, Tableau, Power Bi, AWS, Waterfall, Azure, Gcp, Cloud Platforms, Data Visualization Tools, Project Management Methodologies, Pmp, Machine Learning Concepts