Apache Spark, Distributed computing principles and frameworks, Data processing and transformation

react.js , Cloudformation, PostgreSQL, SQL Server, Sql, Devops, Git, Terraform, Docker, MySQL, FastAPI, Python, AWS

Java, S3, Hadoop, Scala, AWS Glue, Data Warehousing, Emr, Data Modeling, Redshift, Sql, Lambda, Hive, Kinesis, Iam, Python, AWS, Firehose, ETL pipelines

Data Modeling, Data Structures, Sql, Nosql, Python, AWS, Acceldata, AI assisted development, Data Engineering Frameworks, Databricks Lakehouse, Data Analysis, Fivetran

Sql, Batch and real-time data processing architectures and tools, DevOps practices in a data engineering context

Pandas, Machine Learning, Numpy, Matplotlib, Data Architecture, Sql, Python, AWS, data models, AI workflows, data pipelines

Apis, Version Control, Maven, Pyspark, Performance Tuning, Apache Spark, Sparksql, Data Modeling, Sql, Jenkins, Databricks, Python, AWS, Scaled Agile methodologies, workflow orchestration, CI CD, Data Fabric, Data Mesh

Pyspark, Scala, Apache Spark, Kafka, Sql, Gcp, Databricks, Azure, Python, AWS, Airflow, Delta Lake

Pyspark, React, Databricks, Python, AWS, AWS Bedrock, RAG Retrieval-Augmented Generation, MCP Model Context Protocol, GraphQL APIs, LLM orchestration frameworks, async programming, AWS Nova Pro