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

Apache Airflow, Apache Spark, Python, GenAI, Langchain, Databricks on AWS, Langgraph, RAG, Llm

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

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

ADLS Gen2 - Lakehouse, snowflake , Azure Data Factory, Power Bi, Scala, Azure Databricks, Python, Sql, DevOps practices

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

Dependency Injection, Java, BigQuery, Apache Flink, Google Cloud Platform, Linux, PostgreSQL, Kubernetes, Sql

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

Apache Airflow, Elasticsearch, Apache Spark, Kafka, MongoDB, Data models and storage architectures, Distributed data systems, Vector databases, Data processing performance and optimisation, NoSQL databases, Data pipelines