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

Apache Airflow, Pyspark, Databricks, Python, Sql, Delta Lake

Pyspark, Microsoft Sql Server, Azure Databricks, Sql, ELT, Jenkins, Git, Azure Data Factory, Azure Functions, Data Warehousing Concepts, Azure cloud services, FastAPI, Oracle, Python, RDMS, Etl, NoSQL databases, CI CD processes, Azure Databases, Azure Data Fabric, API Gateway management, Azure Lake Gen 2, DevOps lifecycle

Automation Tools, Data Extraction, Performance Monitoring, Coding Standards, Security remediation, Generative AI tools, Troubleshooting

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

catalog , Orchestration, Data Modelling, PostgreSQL, Sql, Apache Airflow, Data Quality, Apache Cassandra, Data Governance, Agile, Aws Ec2, Python, Data Profiling, Etl, lineage, CI CD, MDM, Supabase, observability

Pyspark, Sql, Databricks, Python, Data Transformation, Data Warehousing, Data Modeling, ELT, Data Quality, Data Governance, Data Integration, Etl, AI-powered analytics, Compliance, pipeline orchestration, Security, Lakehouse architecture

Python, Sql, Hadoop, Spark, Data Modeling, Machine Learning, Data Warehousing, Cloud Computing, Big Data, ETL Processes