Python, Data Architecture, Data Governance, Data Modeling, Lakehouse Architecture, Azure Data Services

Ensuring data quality across systems, Data governance and security principles, Microsoft Azure Data Services, Cloud-based data platforms and services, Designing scalable data storage solutions, Data integration techniques, Optimizing data workflows, Data models and metadata repositories

Sap Data Services, Data Modeling, Data Architect, Data Mapping

data warehouses , Data Architecture, Data Modeling, data lakes, Relational Databases, ETL processes, NoSQL databases, cloud computing technologies, data management technologies, data analysis and reporting tools

Advanced SQL (Complex Joins, Performance Tuning), Azure Data Lake Storage (ADLS), Metadata Management & Data Lineage, Agile & RFC-Driven Delivery Environments, Databricks, Query Optimization, Data Governance, SQLDBM, Window Functions, Enterprise Data Pipelines

bedrock , Cloudformation, Sql, Data Warehousing, Lambda, Data Lake, Pyspark, Kafka, Terraform, Scala, S3, AWS Glue, Kinesis, AWS, Python, Redshift, Lake Formation, DataBrew, Glue, Athena, Data Mesh, SageMaker, Delta, Apache Hudi, AI ML solutions

Kafka, Json, Avro, Bash Scripting, MySQL, Postgres, Oracle, Python, Pyspark, Apache Flink, Mongo, Apis, Apache Spark, Impala, UNIX, Sql, Git, Hive, Spark Streaming, orc, Hadoop ecosystem components, NiFi, Parquet, NoSQL databases, Text, HDFS

snowflake , Data Quality, Data Modelling, Data Governance, Data Observability, Data cataloguing

Power Bi, Kafka, Security Controls, Metadata Management, Azure Synapse, Git, Azure Data Factory, Spark, Azure DevOps, Dimensional Data Vault, cdc, Ingestion pipelines, Lakehouse Data Warehouse, Data cataloging, Data governance frameworks, Batch streaming, Lineage, Real-Time Analytics, ADLS, CI CD pipelines, Microsoft Fabric, Medallion architecture