Unix, S3, RDS, Aws Services, PostgreSQL, Informatica, Redshift, Kinesis, MySQL, Databricks, Sql Scripts, Oracle, Python, Etl, Step Functions, Microsoft GitHub co-pilot, Matillion, Glue, Low code No code tools

data engineering , Java, Database Management Systems, Python, Data Storage, Data Processing, ETL processes, data integration techniques, cloud platforms, data warehousing solutions

Power Bi, Tableau, Databricks, Sql, Python, R, Azara, Google Looker Studio

Spark SQL, Github, Pyspark, Data Modeling, Sql, Azure Data Factory, Databricks, Python, MLlib, data quality management, Azure DevOps Pipelines, data cataloguing, GitHub Actions, ETL processing, lakehouse concepts, Azure Data Lake Gen2

React, Sql

S3, Hadoop, Pyspark, Emr, Redshift, Sql, Spark, Python, AWS, Airflow, Debezium, NoSQL databases, MSK

Data Architecture, Sql, ELT, Data Governance, Python, Etl, workflow orchestration tools, data quality frameworks, real-time ingestion, batch and streaming data pipelines, data transformation frameworks, change data capture patterns, infrastructure-as-code practices, cloud data warehouse platforms

Workflows, Pyspark, Kafka, Azure Databricks, Gcp, Advanced Sql, Azure, Data Quality Frameworks, Advanced Python, Data Pipelines, CI CD, Unity Catalog, Delta Lake

snowflake , Metadata Management, Azure Synapse Analytics, AWS Glue, Azure Databricks, Data Modeling, Data Lineage, Sql, Informatica IICS, Data quality frameworks, Azure SQL Database