Pyspark, Database Design, Scrum, Data Warehousing, Jira, Git, Data Integration, Agile, Python, AWS, Azure DevOps, Etl, DataLake, Data Analysis, EDW methodologies, DataOps, Lakehouse

Distributed Systems, Data Architecture, Software development best practices, Data engineering best practices, Big data platforms, Data pipelines, Data Product Lifecycle Standards and Practices

Distributed Systems, Data Architecture, Software development best practices, Data engineering best practices, Data pipelines, Data Product Lifecycle Standards and Practices

snowflake , , Pyspark, Sql, AWS, Python, Informatica, Data Lake, Enterprise Data Warehouse, DataOps, Streaming Generative-AI Applications

Azure Data Factory, Database Management, Python, ETL/ELT, Data Bricks

Databricks, Data Architecture, Agile Methodologies, Advanced Sql, Full Stack software development

snowflake , , Sql, Rest Api, Data Lake, Tableau, Pyspark, Odata, Power Bi, Odbc, AWS, Python, Informatica, JDBC, Enterprise Data Warehouse, Custom API, DataOps, ODP

data engineering , snowflake , Sql, Apache Airflow, Data Modeling, Performance Tuning, Azure Data Factory ADF, dbt, AI ML data integrations, data integration solutions, CI CD, DevOps practices, cloud-based data platforms, ETL ELT pipelines

Soap, Sql, Azure Data Factory, Odbc, Xml, Databricks, Rest Apis, JDBC, Python, dbt Core, data quality testing, Azure Service Bus, data governance tooling

data engineering , Data Analytics, Power Bi, Application Development, Information Security, Tableau, Sql, Data Science, Predictive Modeling, Clustering, Python, data pipelines, cybersecurity analytics, extract load transform, anomaly detection, Classification, extract transform load, data quality controls, data ingestion