unstructured data , Machine Learning, Python, data science fundamentals, structured data, data pipelines, data-intensive problems, Data Processing, code reviews

Spark SQL, Performance Tuning, Kafka, Azure Databricks, Data Warehousing Concepts, Query Optimization, Data Modelling, Governance and Access management, Spark Structured Streaming, Window functions, cluster configuration, Medallion Architecture, Data management strategies, DataFrames, caching strategies, Unity Catalog, Foreign catalog, Databricks Autoloader, Delta Lake

Api Development, Python, Big Data Technologies, Cloud-based big data technologies, R, Traditional Application Development, Analytics libraries, Open-Source Natural Language Processing, Statistical and big data computing libraries

Gitlab, Sql, SQL Server, DataFlow, Pyspark, Rest Apis, AWS, MySQL, Cloudformation, Oracle, Spark SQL, Azure, Gcp, Terraform, Jenkins, PostgreSQL, Web Services, Azure DevOps, Informatica Cloud Services IDMC IICS, Delta Lake, CI CD pipelines

S3, Lambda, Git, Cloudwatch, ECS, Python, Sql, AWS, Glue

Data Warehousing Concepts, Python, Cloud Functions, GCP Data Engineering stack, Cloud Storage S3 Blob, dbt, BigQuery SQL, Composer Airflow, Kafka Pub-Sub

data reconciliation , Apis, Tableau, Data Integration, Sql, Production Support, ETL processes, Data Validation

Java, Git, Docker, Python, Sql, AWS, Messaging Queues

Java, Cassandra, Scala, Big Data, Kafka, Sql, Nosql, Hive, Presto, Spark, MongoDB, Python, HDFS, Relational Databases

Data Factory, Microsoft Power Bi, Power Query, Dax, Sql, OneLake, Pipelines, Lakehouse, Dataflows Gen2, Microsoft Fabric