Azure Data Factory, Scala, Azure Databricks, Python, Sql, Palantir

Metadata Management, Databricks, Python, Data lineage techniques, Master data management, Data modeling methodologies, Big Data storage architecture

snowflake , S3, Redshift, Jenkins, Lambda, Spark Streaming, Apache Kafka, Gitlab, Data Governance, Python, AWS, Alation, Glue, Data Quality Mesh

Apis, Pyspark, Version Control, Data Integration, Sql, ELT, Databricks, Microsoft Azure, Python, Etl, Data Quality Checks, ActiveBatch

Hadoop, Pyspark, Kafka, Presto, Spark, Python, AI tools, Pinot, pgvector, Codex, vector databases, Claude, Pinecone, Flink, cloud data warehouses, Hudi, Milvus, Weaviate

Git, PostgreSQL, Rest Apis, Python, Sql, ELT, Etl, LangChain, GenAI, Lakehouse architecture

Scala, Apache Kafka, Databricks, Python, Sql, Databricks SQL, TimescaleDB, Structured Streaming, Great Expectations, Delta Live Tables, Unity Catalog

Terraform, Pyspark, Python, Sql, GitLab CI, GitHub Actions, LakeFlow, Delta Lake, Solid, Databricks Lakehouse

Data Security, Pyspark, Sql, ELT, Git, Gcp, Data Governance, Databricks, Data Integration, Azure, Python, AWS, Etl, orchestration tools, DevOps practices, Unity Catalog, Delta Lake, Access Control, Lakehouse architecture

Data Governance, Data Modeling, Sql, Python, data orchestration workflows, data quality frameworks, distributed data processing frameworks, ETL pipelines