Debugging, Pyspark, Data Warehousing, Sql, Data Analysis, Postgres SQL or similar RDBMS, Data modeling fundamentals, Performance optimization, Azure cloud ecosystem or equivalent cloud platforms, ETL pipelines

Machine Learning, Kafka, Data Modeling, Sql, Kinesis, Gcp, Azure, Python, AWS, Airflow, warehouse design patterns, Flink, lakehouse platform, analytics reporting, data models, dbt, cloud data warehouse, streaming architecture, data transformation pipelines

data engineering , Kafka, Emr, Redshift, Sql, Hive, Spark, Databricks, Column stores, Airflow, Micro-services architecture, Flink, Apache projects, AWS data services, Scalable data pipelines, Streaming pipelines, Relational Databases, Athena

Database systems and data warehousing concepts, Data integration and migration strategies, Designing and implementing data pipelines and workflows, Troubleshooting and resolving complex data-related issues, Data Modeling Techniques and Methodologies

data engineering , data discovery , Data Lineage, Metadata Management, Programming Languages, Data Quality, Data Governance, enterprise data platforms, AI-driven data management technologies, data pipelines, data cataloguing, data governance practices, cloud-native data solutions

Cloud Computing, Data Modeling, Apache Spark, Data Warehousing, Sql, Python, Microservices, Api Development, ETL Processes, CI/CD Pipelines