data engineering , Spark, Databricks, Data ingestion strategies, Partitioning, ADLS, Resource Allocation, Incremental loads, Schema evolution, Spark optimization techniques, Caching

Apache Spark (Scala), Sns, Sqs, Cloudwatch, Amazon Kinesis, AWS CloudFormation, AWS Data Architecture, Amazon Athena, AWS Macie

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

AWS AI Services, data integration methods and tools, Databricks Unified Data Analytics Platform, Snowflake Data Warehouse, database design principles, AI Data Solution Architecture, data modeling techniques

snowflake , Sql, Java, Qlik Replicate, Azure Data Factory, Nosql, Python, Azure, Data Integration Management, Azure Data Explorer, Airflow, Fivetran, Technology Evaluation, Performance Optimization, Governance Compliance, Data Architecture Design, DBT scripting

snowflake , Pyspark, Scala, Apache Spark, Azure, Google Cloud, Etl, AWS, Data Integration frameworks, DataFrames

snowflake , Apache Flink, Avro, Data Architecture, Sql, Apache Kafka, Databricks, Data Modelling, Spark Structured Streaming, Apache Iceberg, Parquet, Master data management, Dremio, Debezium, AWS data services, NATS, Delta Lake, Lakehouse architecture

Adf, Pyspark, Azure Databricks, Data Modeling, Sql, Data Governance, Rest Apis, ADLS Gen2, batch and streaming data pipelines, security and access control frameworks, Spark optimization, Synapse Analytics, Lakehouse Medallion Architecture

Devops, Sql, Cosmos DB, Data Warehousing, Azure Data Factory, Pyspark, Kafka, Power Bi, Azure Databricks, Python, Scala, Azure Data Lake Storage, Microsoft Fabric, SQL Managed Instance, Data Lake architecture, Delta Lake, Azure Data Services, Synapse Analytics, Azure SQL DB, CI CD pipelines, Azure Event Hub, AI ML pipelines, Generative AI models