data engineering , Rust, Scala, Data Structures, Kotlin, Deep Learning, Algorithms, Distributed Computing, MLops, Python, Large-Scale System Design, Modern Data Engineering Technologies

Spark, Sql, Metadata Management, Data Architecture, Scala, Data Quality, Data modeling techniques, Generative AI technologies, Data cataloging, Data governance and security

snowflake , Sql, Databricks, Tableau, BigQuery, Data Architecture, Powerbi, Python, Redshift, Great Expectations, Metabase, dbt, Looker, DataHub, data quality frameworks, Alation, canonical models, query performance optimization, Amundsen, Deequ, Superset, analytical data models, dimensional modelling, analytics engineering tools, dashboarding tools, LookML, cloud data warehouses

Advanced Analytics, Databricks, Data Modeling, Data Governance, Data Quality, Lakehouse patterns, Feature engineering, Enterprise data architecture standards, Business intelligence, Security, Integration and data pipeline patterns, Dimensional data vault

snowflake , SQL Server, data architecture principles, data modeling techniques

Data Modeling, Python, Sql, Google Cloud, dataform, dbt, ETL processes, data integration techniques, Microstrategy, Looker

data engineering , Java, Big Data Analytics, Hadoop, Cassandra, Scala, Data Science, Gcp, Azure, Python, AWS, Apache Spark™, R

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

Python, Git, Machine Learning, Prompt Engineering, Data Annotation, Benchmarking, Annotation Metrics