Orchestration, Pyspark, Data Warehousing, Kafka, Data Modeling, ELT, Streaming, Python, AWS, Sdp, Apache Spark, Sql, Databricks, Data Integration, Etl, Debezium, Lakehouse architecture, Lakeflow Connect, Schema Registry, Auto Loader, production-grade data pipelines, Unity Catalog, Spark Declarative Pipelines, Karapace, Databricks Asset Bundles, Kafka Connect, Delta Lake, CI/CD

.NET, data engineering , C#, Metadata Management, Adf, Data Architecture, ELT, Nosql, Javascript, Data Lake, Python, Data Modelling, Sql, Devops, Data Quality, Data Governance, Databricks, Azure, Etl, lakehouse, data pipelines, model training, model deployment, agile delivery, warehouse design, Synapse, ML fundamentals, Azure Data Engineering, CI/CD

Azure Data Factory, Pyspark, Databricks, Sql, Azure DevOps, CI CD workflows, ADLS Gen2, Event Hub, Azure-native technologies, Azure SQL Database

Java, BigQuery, Hadoop, Data Modeling, Kafka, ELT, Microservices, Data Quality, Hive, MLops, Spark, Databricks, Data Governance, Python, Kubernetes, Etl, Airflow, HDFS, Delta Lake, CI/CD

snowflake , change data capture , Github, Databricks, Azure, Python, Sql, Data quality reconciliation, Event processing, CI CD

.NET, snowflake , Data Quality, React, Data Modeling, Apache Kafka, Python, Sql, AWS, GenAI

snowflake , Apache Airflow, Python, Sql, AWS, dbt Cloud, dbt Core

Terraform, Cloudformation, Pyspark, Sql, AWS data stack, CI/CD, IaC

snowflake , Performance Tuning, Data Modeling, Azure Data Factory, Gitlab, Azure, AWS, Airflow, Apache Iceberg, Data Quality standards, Lakehouse architectures, Data Validation, CI CD, Workflow orchestration, dbt, Scalable data product development, workload management, Metadata-driven pipelines