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

data engineering , Confluence, Power Bi, BI, Jira, Ms Office, Project Management

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

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

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

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

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 , 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

data masking , Paas, Github, Adf, ADO, Azure Synapse, Encryption, Sonarqube, Azure Data Lake, Ml, Migrations, Power Bi, Azure Sql, DevSecOps, GenAI, Azure stack, SRE, Safe, FaaS, compliance standards, Lakehouse Medallion Architecture, Distributed database architectures, Datawarehouse modeling techniques, Data Platform Modernization, Lean, Ai, Security Governance, cloud-native engineering, microservices architecture, Xp, data governance frameworks