data engineering , Data Governance, Data integration techniques and tools, Data Analysis Interpretation, Data Architecture Principles, Cloud-based data platforms, Distributed computing environments

data discovery , Azure Cosmos DB, Python, Sql, Azure DevOps, vector search, RAG embeddings, AI GenAI data pipelines, data quality frameworks, NoSQL data modelling, Microsoft Fabric

Hadoop, Apache Spark, Bash, Python, operational scripting, monitoring log aggregation, AI Tooling, alerting platforms, Linux systems administration, distributed ETL pipelines, Big Data Platform Engineering

snowflake , PostgreSQL, SQL Server, Apache Airflow, Azure Data Factory, Spark, Databricks, Python, Azure Functions, Pyspark, Kafka, Rest Apis, Azure Sql, Microsoft Azure data services, ETL ELT pipelines, Delta Lake, Microsoft Fabric, Event Hubs, Great Expectations, Azure Monitor

Data Modeling, Sql, AWS Infrastructure, Warehousing, ETL pipelines

Agile Methodologies, Pyspark, Sql, Big Data Technologies, Microservices, Git, Gcp, Apache Kafka, Spark, Rest Apis, Azure, Python, AWS, Etl, Kafka Connect, Kafka Streams, CI/CD tools, ELT pipelines

Spark, Foundry Ontology, Python and PySpark, ETL pipelines, data models

Github, Data Modeling, Data Warehousing Concepts, Sql, Git, Azure Data Factory, Python, Aws S3, Airflow, CI CD Pipelines, Snowflake Data Cloud, DBT Data Build Tool