Git, Spark, Python Programming, Data Modeling, Databricks, Advanced Sql, Building scalable ETL pipelines, Data warehousing and BI tools integration

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

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

Java, Unix, Apache Flink, Data Modeling, Schema Design, Pyspark, Data Cleansing, Apache Spark, Data Warehouse Concepts, Shell Scripting, Sql, ELT, Apache Airflow, Linux, Apache Kafka, Restful Apis, Python, Etl, Data Transformation, Data Quality Validation

S3, RDS, Pyspark, Databricks, Emr, Redshift, Python, Sql, AWS, Etl

data engineering , Data Transformation, Power Bi, Data Modeling, Sql, ELT, Git, Microsoft Azure, Python, Etl, Azure DevOps, table maintenance, data quality checks, OneLake, data pipelines, schema validation, Spark notebooks, cloud data platforms, ADF pipelines, Lakehouse tables, Microsoft Fabric

snowflake , Pl Sql, Informatica, Python, dbt, Google BigQuery, Teradata

Strong SQL including analytical functions and query optimisation, Fluent use of coding agents and LLM tooling, Testing lineage and governance, ETL and ELT batch and streaming in Python, Production ownership of data systems

BigQuery, Hadoop, Pyspark, Data Warehousing, Bash, Sparksql, Dataproc, Sql, Cloud Storage, Hive, Gcp, Iam, DataFlow, Python, Airflow, DataFrame, Pub Sub