data wrangling , Power Bi, Scala, PostgreSQL, Data Architecture, Mssql, Sql, Git, Javascript, MySQL, Databricks, Python, data pipelining, Azure Table, Subversion, restful API developments, Microsoft Azure Data Lake, Microsoft data stack, Source Code Control, data blending technology, Blob stores

PostgreSQL, Linux Shell Scripting, Oracle, Mssql, Python, Sql, S3 bucket storage, CI CD pipelines, Trino, IDES, HDFS

data wrangling , Data Architecture, Sql, Databricks, Power Bi, MySQL, Mssql, Python, Scrum, Git, Scala, PostgreSQL, Javascript, Agile Project Delivery, Azure Table Blob stores, data pipelining, data blending technology, Subversion, restful API developments, Microsoft Azure Data Lake

Amazon Redshift, Pyspark, Amazon S3, AWS Glue, Python, Sql, Amazon QuickSight

.NET, data monitoring , Java, Data Quality, Scala, Data Governance, Python, Data Processing, data ingestion

Data Modelling, Data Warehouse, Sql, Rest Api, Cloudwatch, Data Lake, Python, AWS, Data Virtualisation, big data tools and frameworks, data storage infrastructure, data access, Glue, web requests protocols

Java, Performance Tuning, Node.js, REST, Python, reliability patterns, scalable storage systems, time-series databases, Go, batching, GRPC, data ingestion pipelines, data lakes, Relational Databases, backpressure, data partitioning, cloud-based data platforms, observability

Hadoop, Power Bi, Pyspark, Kafka, Tableau, Sql, Azure Synapse, Azure Data Factory, Azure Data Lake, Spark, Databricks, Python