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

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

data engineering , Data Modelling, Data Structures, Sql, Nosql, Python, AWS, Acceldata, AI assisted development, Databricks Lakehouse, Data Analysis, Fivetran

snowflake , Performance Tuning, Jira, Sql, Query Optimization, Git, Confluence, Agile, Scrum, Python, Airflow, dbt, Data Coves, on-premises data integration ETL tools, cloud data platforms

Pyspark, Etl Tools, Hadoop, Data Modeling, PostgreSQL, SQL Server, Kafka, Informatica, Sql, Database Design, Apache Nifi, Apache Airflow, Amazon Redshift, MySQL, Big Data Technologies, Spark, Talend, Python, AWS, Google BigQuery, Data Warehousing Solutions

Data Modelling, Kafka, Azure Databricks, Sql, Git, Docker, Terraform, Spark, Kubernetes, Python, Delta Table, Iceberg, Dagster

Apis, Data Modeling, Apache Spark, Azure Databricks, Sql, ELT, Devops, Git, Advanced Analytics, Data Governance, Python, Etl