Apache Airflow, Pyspark, Databricks, Advanced Sql, Python, Etl, Cloud Platforms, dbt

snowflake , change data capture , time travel , Data Modelling, Data Factory, Snowpipe, Sql, ELT, Devops, Data Warehousing, Data Governance, Azure, Python, AWS, Etl, Ml, DataOps, rbac, Generative AI, Ai, Secure Data Sharing, Fail-Safe

Pandas, Agile Software Development, AWS Glue, Dynamodb, Python, Azure DevOps, Amazon Athena, AWS Step Functions

Docker, Pyspark, SQL Server, Databricks, Restful Apis, Kubernetes, Azure DevOps, Azure Container Registry, Azure Key Vault, Azure Blob Storage, Azure Kubernetes Service

Github, T-sql, Data Modeling, Pyspark, ELT, Azure Data Lake, Python, Azure DevOps, Dynamics 365, Power Bi, SQL Server, Azure Data Factory, Databricks, Ocr, Etl, REST API integrations, Azure OpenAI, Azure AI Foundry, LLMs, Logic Apps, AutoGen, Agentic AI, RAG, Microsoft Fabric

Mqtt, Cloud Devops, SSIS, Data Integration, Sql, Devops, Git, Azure Data Factory, Databricks, Microsoft Azure, Python, Data Engineering Architecture, Data Lakes, CI CD

data discovery , Performance Tuning, Kafka, Data Modeling, Slas, Data Lineage, Python, Google Cloud Platform, Clustering, Sql, Metadata Management, Data lakehouse principles, Streaming architectures, Google BigQuery, Partitioning, Data pipelines, Parquet, Incremental processing, Feature engineering workflows, Dimensional models, Data quality and observability practices, SLOs, Google Cloud Storage, Pub/Sub, Data versioning

snowflake , S3, Github, ELT, Apache Airflow, Lambda, Ec2, Kinesis, Aws Cloud, Python, Data Modelling, Hadoop, Scala, Dynamodb, Emr, Redshift, Sql, Erwin, Hive, Cloudwatch, Spark, Linux Unix, Etl, Slowly Changing Dimensions, HDFS, CI CD pipeline development, Glue, Athena, AI tools technologies

Java, Quicksight, S3, Redshift, Python, AWS, Etl, Redshift Serverless, cdc, Glue, Go

snowflake , Apache Airflow, Aws Lambda, Git, Pyspark, Spark, Shell scripting, AWS Glue, Python, Sql, AWS Step Functions