Distributed Systems, Data Architecture, Software development best practices, Data engineering best practices, Big data platforms, Data pipelines, Data Product Lifecycle Standards and Practices

Azure Data Factory (ADF), Azure Data Lake Storage Gen2 (ADLS Gen2), Azure DevOps & Git, Power BI Basics., Sql, Python, Azure Databricks, Pyspark, Azure Synapse Analytics, Azure Cosmos DB, Data Warehousing, ETL/ELT Concepts

Adf, Logging, Pyspark, Sql, ELT, Spark, Data Governance, Databricks, Azure, Python, AWS, Etl, Airflow, data quality checks, Data Analysis, incident triage, Monitoring, structured data

Java, S3, Machine Learning, Hadoop, Scala, Nodejs, Emr, Netezza, Redshift, ELT, MS SQL, Ec2, MySQL, Hadoop Hive, Spark, Oracle, Python, Etl, DataNet jobs, Generative AI, AWS Tools, Ai, Teradata

Pyspark, Database Design, Scrum, Data Warehousing, Jira, Git, Data Integration, Agile, Python, AWS, Azure DevOps, Etl, DataLake, Data Analysis, EDW methodologies, DataOps, Lakehouse

bigtable , Sql, Kafka, Rest Apis, BigQuery, Etl, MySQL, Hive, Dataproc, ELT, Apache Airflow, Apigee, Apache Spark, Python, MongoDB, Dataplex, LLMs, GenAI, Google Pub Sub, embeddings, Vertex AI, Cloud Composer, Data Catalog, BigQuery ML, prompt engineering

cohesity , San, Nas, PowerShell, Storage technologies, Ansible, Commvault, Kubernetes, Python, GitHub Actions, AWS Backup, Dell Data Domain, Azure backups, API based automation, Disaster Recovery Planning

Distributed Systems, Data Architecture, Software development best practices, Data engineering best practices, Big data platforms, Data pipelines, Data Product Lifecycle Standards and Practices

Distributed Systems, Data Architecture, Software development best practices, Data engineering best practices, Data pipelines, Data Product Lifecycle Standards and Practices

data engineering , snowflake , Data Modeling, Data Architecture, Python, Sql, ELT, Etl, Cortex AI, Claude, Matillion