Apache Spark, Prometheus, Node.js, Data Warehousing, Grafana, Sql, Docker, Databricks, Splunk, Rest Apis, Azure, Kubernetes, Python, AWS, AI ML concepts, CI CD pipelines

Spark SQL, Pyspark, Apache Spark, Kafka, Azure Databricks, Sql, ELT, Terraform, Azure cloud services, Python, Etl, Git-based CI CD, performance tuning of Spark workloads, Unity Catalog, Azure Data Lake Storage, Event Hubs, Delta Lake, data quality best practices, Lakehouse architecture

S3, RDS, Cloudformation, Scala, Apache Spark, Kafka, Emr, Redshift, Sql, Lambda, Kinesis, Terraform, Data Lake, Python, AWS, Airflow, Step Functions, Glue, Athena

Data Modeling, Sql, ETL pipelines

data engineering , Data Modelling, Azure Sql, Sql, ELT, Data Governance, Python, Etl, Blob Storage, Azure data services, data processing frameworks, Fabric

Spark SQL, Power Bi, Sql, ELT, Azure Data Factory, Terraform, Azure Synapse Analytics, Databricks, Arm, Python, Etl, Azure DevOps, CI CD, Azure Data Lake Gen2, Bicep

snowflake , Terraform, Azure, Sql, Python, AWS, Airflow, Dagster, dbt

data engineering , Databricks, Data Analytics, Python, Sql, LLMs, Predictive Pipelines, Data Privacy Principles, AI Coding Assistants

Kafka, Svn, JIRA, Apache Nifi, Confluence, Kinesis, Terraform, Python, AWS, Java, BigQuery, Hadoop, Scala, Sql, Git, Gcp, Spark, Ab Initio, DataFlow, Kubernetes, GDE, Conduct IT, CI CD, pdl, Express IT

snowflake , PostgreSQL, Containers, full stack experience, building production APIs, building CI CD pipelines