data engineering , data access, Data Pipelines, Data Migrations, Data Processing

data engineering , Data Architecture, data access, Data Pipelines, Data Migrations, Data Processing, Pipeline Optimization

Machine Learning, Tableau, Informatica, Shell Scripts, Etl Tools, Scripting, Python, Pyspark, Denodo, Data Modelling, Impala, Sql, Devops, Hive, Linux, Sap Bo, Cloudera, Analytics, data virtualisation tools, Data Analysis, data warehouse implementations, Plotly, Ai, Cloudera Data Platform

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

Power Bi, Databricks, Python, Sql, R, Looker

Power Bi, Databricks, Python, Sql, R, Looker

Pyspark, Power Bi, Data Warehousing, Apache Spark, Data Modeling, Sql, ELT, Git, Pandas, Gcp, Apache Kafka, Databricks, Azure, Python, Etl, AWS, Statistical Analysis, Looker, unstructured datasets, data quality best practices, structured datasets

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

Java, Hive, C, Spark, Kafka, Python, Iceberg, ClickHouse, Go, Apache Pulsar