data engineering , Performance Tuning, Pyspark, Data Design, Sql, Profisee MDM, Microsoft Purview, Source-to-Target mapping, Git version control, Data quality testing, CI CD

data engineering , Alteryx, Power Bi, Pyspark, Databricks, Python, MS Fabrics

Azure Synapse, Azure Data Factory, Spark, Azure Data Lake, Databricks, Sql, Python, Delta Tables, Unity Catalog

Aws Lambda, Aws Redshift, Pyspark, AWS Glue, AWS CloudWatch, Sql, Jenkins, AWS IAM, Databricks, AWS CodePipeline, Python, Aws S3, Kinesis Firehose, Kinesis Analytics, AWS Data Engineering, AWS Lake Formation, Amazon Kafka, Spark Performance Tuning, GitHub Actions, Amazon Kinesis Data Streams, CI CD pipelines, Delta Lake, Structured Streaming

Natural Language Processing, Programming Languages, Data Governance, Big Data, Reporting Tools, data pipelines, Ai, statistical computations, cloud environments, Relational Databases, non-relational databases, API integrations

Java, S3, Scala, Apache Spark, AWS Glue, Dynamodb, Kafka, Redshift, Lambda, Docker, Python, Kubernetes, AWS, EKS, Athena

Power Bi, Pyspark, Amazon S3, Apache Spark, Emr, Sql, ELT, Apache Airflow, Git, Rest Apis, Python, Etl, AWS, Dremio, EMR Serverless, Trino-compatible SQL engines, Delta Lake, Sharepoint, Athena, Apache Superset

Java, Hive, Hadoop, Scala, Spark, Nodejs, Emr, Data Modeling, Sql, Python, ETL pipelines

Data Modelling, Azure Databricks, Automated Testing, Sql, Spark, Python, data quality observability, role-based access controls, CI CD, Unity Catalog, Notebooks, orchestration Workflows, Delta Lake, metadata lineage, secure engineering practices, infrastructure as code, distributed data processing