graph databases , object storage , S3, Golang, C#, AWS Glue, Data Modeling, Nosql, Lambda, Kinesis, Ruby, Oracle, Python, Java, Rust, C++, Emr, Redshift, Non-relational databases, Data stores, IAM roles and permissions, ETL pipelines, FireHose, AWS technologies, Key-value stores, Column-family databases

risk management framework , Data Modeling, Data Architecture, Python, Devops, Data Quality, Agile, Data Governance, Sql, Data pipeline design, Software configuration management tools, Data observability

Apache Airflow, Aws Redshift, Pyspark, Python, Sql, AWS, AWS EMR

Apache Spark, Kafka, Apache Airflow, Pandas, Elasticsearch, MongoDB, pgvector, Polars, Qdrant, Vector databases, NoSQL databases, Data models and storage architectures, Distributed data systems, Data processing performance and optimisation, Data pipelines, Milvus

Gcp, Sql Server My Sql, Data Engineer

Azure Functions, Adf, Pyspark, Databricks, Azure, Sql, Synapse, Azure Purview, Delta Lake, Unity Catalog

Data Factory, Pyspark, Sql, Azure Sql, Devops, Databricks, Azure, Python, Etl, Data Ingestion Processing, CI CD, Data Pipeline Development, ADLS

Power Bi, PowerShell, Azure Data Factory, Azure Synapse Analytics, Dax, Python, Azure DevOps, Azure Blob Storage, CI CD processes, Azure Data Lake Storage, Azure Analysis Services, Azure Data Catalog, Azure Data Services

monte carlo , snowflake , Azure, Python, Sql, Azure DevOps, GitHub Actions, dbt, Fivetran, Atlan, Immuta

Python, Databricks, Sql, ELT, Tableau, Pyspark, Presto, Pandas, AWS, Etl, Pytorch, MySQL, Cloudformation, Scala, PostgreSQL, Redshift, Athena, Cloudera Data Platform, AWS Data engineering ecosystem, AWS data services, R, boto3, lakeformation, GitHub Workflows