Data Transformation, Data Governance, Azure Databricks, data processing techniques, ETL pipelines

snowflake , Kafka, Sql, AWS, Apache Iceberg, ClickHouse, Data pipeline engineering, Ai, Apache Pulsar, Data quality testing, Confluent, dbt, Cloud-native platform design, Observability, Monitoring

Sql, Python, Etl, Data Warehousing, Big Data, Spark, Data Pipelines

snowflake , containerization , Pyspark, AWS Glue, Kafka, Numpy, Python, AWS, Java, Scala, Devops, Pandas, MLops, Gcp, Matplotlib, Spark, Apache Beam, Azure, data pipelines, Flink, Data Proc, Azure DataFactory, analytics libraries, cloud platforms, distributed computing frameworks, DataOps, GCS

Ml, Metadata Management, ELT, Devops, Data Governance, automation, Etl, SRE, Ai, CI CD, cloud-based data lakehouse architectures, Monitoring, Analytics, distributed data processing frameworks, data ingestion, data pipeline orchestration

Power Bi, Schema Design, Tableau, Sql, data pipelines, AI-driven coding workflows, data integrity, model training, backup fundamentals, Metabase, Optimisation, Relational Databases, AI-assisted development tools, Access Control, machine learning concepts

Python, Sql, Distributed Systems, data pipelines, cloud computing platforms, data processing concepts, large-scale data processing frameworks, data engineering principles

data engineering , Machine Learning, Artificial Intelligence, Apache Spark, Databricks, Gen AI

MySQL, Data Warehousing, Data Modeling, Python, Etl, data pipelines

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