data engineering , Ml, Java, Machine Learning, Natural Language Processing, SAS, data mining, Scala, Big Data, Python, analytics platforms, Ai, data technologies, data lakes, R, ETL processes, cloud computing platforms

data engineering , Pyspark, Data Architecture, Databricks, Python, Sql, Azure Data Platform, Data Platform delivery, Microsoft Fabric

Java, Google Cloud Platform, Scala, Spark, Kafka, Azure, Python, Sql, AWS, Airflow, Flink

Power Bi, PostgreSQL, SQL Server, Tableau, Json, Informatica, MySQL, Oracle, Talend, Python, Etl, Pentaho Kettle

Bteq, Java, Ranger, Hadoop, Apache Spark, Kafka, Teradata Sql, Informatica, Impala, Hive, GCFR shell scripts, ATLAS, Flink, Iceberg, QueryGrid, Trino, Nifi

S3, Unix, Terraform, Linux, PostgreSQL, AWS CloudFormation, Python, Sql, Aurora

Java, Apis, Kafka, Data Extraction, Python, Generative AI, event-driven systems, microservices-based architectures, Transformation, querying techniques, large language models, real-time data streaming

S3, PostgreSQL, Kafka, Emr, Redshift, Apache Airflow, Kinesis, Spark, Databricks, Python, AWS, Elasticache

.NET, data monitoring , Java, Data Quality, Scala, Data Governance, Python, Data Processing, data ingestion

Linux, Pyspark, Data Warehousing, Python, Sql, analytics platforms, DevOps practices