Sparksql, Sql, Databricks, Big Data Technologies, Apache Spark, Pyspark, Python, data analysis tools, data visualization tools, data protection regulations, R, data governance frameworks, ETL processes

Elk, Prometheus, Grafana, Cloudwatch, Docker, Iam, Kubernetes, Python, Aws S3, SCD Type 2 implementation, AWS DMS, AKS, Azure Data Migration, Data Lakehouse architectures, EKS, dimensional modelling

Java, Scala, AWS Glue, Nodejs, Data Modeling, Sql, Python, IAM roles and permissions, Warehousing, ML technologies, ETL pipelines

T-sql, Databricks, Query Tuning, SQL Server, Views, Etl, Functions, Data Warehousing, Triggers, cloud-based data engineering, Root Cause Analysis, Microsoft Fabric, DACPAC, orchestration tools, file-based integrations, Data Mapping, stored procedures, CI CD, performance optimization, Data Validation, Salesforce, workflow orchestration, complex SQL queries, Reconciliation

Machine Learning, PostgreSQL, Sql, ELT, Apache Airflow, Amazon Redshift, MySQL, Python, Etl, Aws S3, MLflow, SageMaker, dbt

Java, Scala, AWS Glue, Nodejs, Data Modeling, Sql, Python, IAM roles and permissions, Warehousing, ML technologies, ETL pipelines

Azure Data Factory, Azure Databricks, Python, Pyspark, ELT

Java, Hadoop, Data Modeling, Scala, Nodejs, Emr, Sql, Hive, Spark, Python, AWS, ETL Pipelines