data engineering , Spark, Databricks, Emr, Airflow, AWS data services, Micro-services architecture, Streaming pipelines, Athena

snowflake , Azure Databricks, Json, ELT, Data Integration, Excel, Data Modelling, Azure DevOps, Apis, Csv, Data Warehousing, Sql, Git, Azure Data Factory, Powerbi, Xml, Etl, GenAI use cases, PDFs, AI-assisted data processing workflows, Data pipelines, Data ingestion frameworks, Data Analysis, ADLS Gen2, Vector search embeddings, Synapse, AI ML concepts, CI CD pipelines

BigQuery, Pyspark, Data Warehousing, Data Modeling, Dataproc, Sql, Jenkins, Cloud Storage, Git, Gcp, DataFlow, Pub Sub, ETL frameworks, GitHub Actions, CI CD pipelines

T-sql, Query Optimization, Backup And Recovery, Sql Server Administration, Performance Tuning, Execution Plans, Statistics, Production Support, Indexing

snowflake , Data Warehousing, Kafka, Automated Testing, ELT, Docker, Python, Azure DevOps, AWS, Data Modelling, Sql, Devops, Data Quality, Git, Databricks, Kubernetes, Etl, data lakes, Security, MDM, Event Hubs, metadata lineage, production reliability, GitHub Enterprise, DataOps, dbt, CI CD pipelines

Java, Hadoop, Cassandra, Scala, Spark, Dynamodb, Kafka, Sql, ELT, Devops, Hive, Agile, MongoDB, Hbase, Etl, Data Lakes, Accumulo, Map-Reduce

Power Bi, Pyspark, Agile Scrum, Tableau, Databases, Git, Data Warehousing, Informatica Powercenter, Python, Airflow, Data Lake concepts, Advanced SQL and performance tuning, IICS, dbt, CI/CD

data engineering , Big Data - Data Processing, Pyspark, Databricks, PYTHON, Technology, AI-Data science