Github, Pyspark, Pandas, Numpy, Gcp, Docker, Databricks, Azure, Python, AWS, scikit-learn, Great Expectations, Kedro

S3, Github, Pyspark, Lambda, Ec2, Kinesis, Docker, Shell scripting, Python, AWS, Scala, Redshift, Sql, Git, Kubernetes, GenAI, Airflow, AI coding assistants, LLM tools, RAG pipelines, LangChain, prompt engineering, dbt, Glue, LlamaIndex

Data Warehouse (DWH), report development , Data Modelling, Gcp, Oracle Database, Azure, Sql, Python, Etl, AWS, Oracle NetSuite

snowflake , Data Visualization, Python, Sql, Etl, ELT, business intelligence, dbt

snowflake , Pyspark, Aws Lambda, S3, Terraform, Python, Sql, Glue, Athena

snowflake , Pyspark, PostgreSQL, Kafka, Redshift, Sql, Rabbitmq, Docker, Terraform, Spark, Azure, Python, AWS, Airflow, Parquet, CI CD, Prefect, Iceberg, Delta, TimescaleDB, Dagster, dbt

data engineering , snowflake , Cassandra, Big Data, Dataproc, Redshift, Sql, Git, Docker, Terraform, Postgres, Spark, MongoDB, DataFlow, Data Warehouse, Kubernetes, Python, Azure DevOps, Aws S3, Airflow, Data Lakes, Google BigQuery, GCS

Data Transformation, Pyspark, Sql, Git, Pandas, Docker, FastAPI, Python, LangChain, vector databases, Azure AI Agent Service, embedding-based retrieval, LangGraph, multi-agent workflows, agentic AI systems, LLM-powered applications

Pyspark, Sql, ELT, Python, Etl, Logging, OneLake, Production support for enterprise data pipelines, Data Pipelines, Alerting, Identity access control, Git-based version control, Secrets management, Secure service-to-service connectivity in Azure environments, Data quality observability, Automated deployment practices for data platform assets, Power BI semantic models, Dimensional data models, Lakehouse, Delta Lake, Microsoft Fabric, Fabric Notebooks

Spark SQL, Distributed Computing, Pyspark, Data Warehousing, Apache Spark, Databricks, Sql, ELT, Etl, Delta Lake, Lakehouse architecture