distributed architecture , object storage , Sql, Etl, ELT, Python, LINUX, Ksh, Airflow, Starburst, CFT, Trino

snowflake , Power Bi, Etl Development, Sql, Svn, AWS, Power Automate, Shell Scripting, Python, Azure, Gcp, Git, Generative AI tools

Gcp, Docker, Azure, Python, Sql, AWS, Airflow, dbt, Dagster

Neo4j, Sql, BigQuery, Dataproc, Python, Cloud Storage, DataFlow, Terraform, Git, Stardog, Spanner

Sql, Tensorflow, Pandas, Python Programming, Numpy, Pytorch, Scipy, vector databases, LLMs, model deployment workflows, scikit-learn, statsmodels, GenAI technologies, RAG, LangChain, MLOps practices, prompt engineering

Sql, Databricks, Pulumi, Data Lake, Containers, React, Kafka, Pandas, Node.js, Cloudformation, Gcp, Terraform, Scala, PostgreSQL, AWS, FastAPI, Kubernetes, Python, Azure, Spark, Airflow, Delta Lake, columnar DB, LangChain, Big Data processing, LangGraph, Lakehouse, MLflow, NoSQL systems, Polars, event streaming, Apache Iceberg, observability

data engineering , Sql, Etl, Data Modeling, Data Warehousing, Data Integration, Google Cloud SQL, Data Pipelines

Python, AWS Athena, Airflow