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

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

snowflake , Devops, Google Cloud Platform, Pyspark, Databricks, Azure, Python, Sql, AWS, Airflow, dbt

Databricks, Python, Sql, Orchestration, cloud-based data platforms, CI CD, data pipeline development, ETL ELT workflows

S3, Hadoop, Pyspark, PostgreSQL, Scala, Apache Spark, Svn, Autosys, Sql, HTML, Git, Hive, Elasticsearch, Databricks, Python, Unix Shell Scripting, Airflow, AWS EMR, ETL pipelines

snowflake , SQL Server, Microsoft Azure, Python, Sql, ETL processes

snowflake , Apache Airflow, Amazon Kinesis, Apache Kafka, Pyspark, Databricks Workflows, Delta Lake on Databricks

bigtable , BigQuery, Performance Tuning, Hadoop Ecosystem, Pyspark, Apache Spark, Data Modeling, Dataproc, Sql, ELT, Data Integration, DataFlow, Python, Etl, Cloud Functions, Optimization of large-scale data processing workloads, Cloud Composer, Google Cloud Storage, Pub/Sub

Pyspark, Sql, Azure ML, Azure Synapse, Azure Data Factory, Databricks, Azure DevOps, FiveTran, GCP Cloud Composer, Vertex AI, GCP BigQuery, GCP Cloud Run, GCP DLP

Data Management, Pyspark, SQL Server, Data Lake, Databricks, Microsoft Azure, Python, DevOps pipelines, business intelligence architecture, Event Hub, dashboard creation