Database Systems, Data quality assurance practices, Data governance principles, Data integration strategies, Data pipeline architecture, Data Modeling Techniques and Methodologies, Data storage solutions

Pyspark, Sql, Databricks, Azure, Python, Data engineering best practices

Spark SQL, Sql, Java, Azure Data Factory, Hadoop, Tableau, Pyspark, Qliksense, Power Bi, Azure Databricks, AWS, Python, NoSQL databases

Gcp, Apache Beam, Java, BigQuery, Sql, Data Modeling, Cloud Storage, Dataproc, Kafka, Git, Agile, Python, Spark, Data Quality, Data Governance, Cloud Security, Google Dataflow, ETL/ELT, Batch Processing, Streaming Data Pipelines, Pub/Sub, Cloud Composer, CI/CD, Performance Optimization

Security amp; Reliability, Snowflake Openflow ? Apache NiFi ? ETL/ELT Pipeline Development ? Data Ingestion, Transformation amp; Integration ? Snowflake Data Warehousing ? Data Flow Optimization amp; Performance Tuning ? Data Quality

Python, Sql, Java, Spring Boot, Hibernate, Rest Api, AWS

Pyspark, Azure, Python, Sql, problem-solving skills

MongoDB, Postgres, Redshift, Python, Sql, Tableau, Airflow, Metabase

Azure Sql, Azure Data Lake, Azure Databricks, Azure Data Factory

Python, Sql, Spark, Data Warehousing, Apache Kafka, AWS, Data Modeling, Docker, Big Data, ETL Processes