atlassian , object orientation , Amazon Web Services, Programming Languages, JIRA, Python, Hadoop, Google Cloud Platform, Scala, Sql, Agile Software Development, Spark, API services, general security and networking technologies, data analysis techniques, Trino, Google Big Query, cloud-based platform services, Document DBs, Key Value Stores, modern design patterns, BLOB Object Storage, Starburst, dbt, data persistence solutions, distributed architectures

enterprise data modeling , snowflake , Data security and privacy, Bi Tools, Power Bi, Cloudformation, Data Lineage, Sql, Metadata Management, Terraform, Python, AWS, Airflow, Infrastructure as Code, Lakehouse architectures, Data mesh, Semantic layers, Looker, Scalable distributed data processing, Data product design, ELT frameworks, Data quality frameworks

data engineering , Java, Cassandra, Kafka, Node.JS, Yarn, Redis, Google Cloud, Hive, Presto, Spark, MongoDB, Azure, Python, AWS, Golang, Airflow, NoSQL databases, HDFS, TiDB, Map-Reduce

Sql, Databricks, Pig, Pl Sql, Impala, RDBMS, Kinesis, Hadoop, Pyspark, AWS, Etl, Cassandra, Hive, Unix Shell Scripting, Python, Azure, Neo4j, Terraform, Apache Kafka, Git, MongoDB, Spark, CircleCI

Data Analytics, Data Security, audit readiness, tagging, data pipelines, lineage, metadata capabilities, AWS cloud platform solutions, Classification, attribute-based access patterns, Compliance, discoverability, Cataloging, data engineering tech stack, Governance, GDPR regulations

data engineering , Aws Services, data models, Automation of recurring tasks, Data quality assessments, Cloud data warehouses, Data lakes, Master data management solutions

data engineering , Data Analytics, Aws Services, Data Processing, Data quality assessments, Cloud data warehouses, data infrastructure, Data lakes, data models, Master data management