data engineering , Java, S3, Hadoop, Scala, Big Data Technologies, Nodejs, Emr, Data Modeling, Redshift, Sql, Hive, Ec2, Spark, Python, AWS Tools, ETL pipelines

data engineering , Java, S3, Hadoop, Scala, Nodejs, Big Data Technologies, Emr, Data Modeling, Redshift, Sql, Hive, Ec2, Spark, Python, AWS Tools, ETL pipelines

snowflake , Sql, Azure Data Factory, Spark, Databricks, Python, Infrastructure as Code, Git-based version control, Azure cloud data services, Azure SQL Database, dbt, CI CD pipelines, Synapse Analytics, Microsoft Fabric, Data Lake Storage

Power Bi, Apache Spark, Databricks, Azure, Sql, Python, SODA or equivalent data quality observability tools, CI CD for data pipelines, Delta Lake, Atlan or similar data catalog and metadata platforms

Databricks, Sql, Pyspark, Azure Data Factory ADF, Spark optimization, CI CD and DataOps practices, Microsoft Azure ecosystem, AI ML enablement, API and integration patterns, conversational analytics, semantic models, advanced data modeling, Data Lakehouse architectures, Agentic AI ecosystems, Real-time and batch data processing, Delta Lake Medallion Architecture, Data governance and data quality frameworks

graph databases , Spark, Databricks, Sql, AWS, S3, Python, Tableau, Spark Streaming, dbt

Data Factory, Power Bi, Pyspark, Sql, Azure Synapse, Azure ML, Azure DevOps, FiveTran, GCP Cloud Composer, Vertex AI, GCP BigQuery, GCP DLP, GCP Cloud Run

AWS, Sql, Python, Azure, Devops, Gcp, Hadoop, Pyspark, Kafka, Spark, Airflow, Parquet

snowflake , AWS, Databricks, Sql, ELT, Etl, Python, Pyspark, Spark, GenAI