microsoft azure devops, Extract transform and load processes, Collaborating with cross-functional teams, Designing and managing scalable data pipelines and workflows, Data quality assurance and monitoring techniques, Cloud-based data storage and processing solutions

bedrock , S3, Kafka, CDK, Emr, Redshift, Sql, Kinesis, Terraform, Python, AWS, Flink, SageMaker, Neptune, infrastructure-as-code, Glue

Power Bi, Power Automate, Data Governance, Dax, Python, Sql, RAG concepts, ML pipelines, Power Apps, Dataverse, Microsoft Fabric

AWS Glue, Python, Sql, GCP Dataflow, dbt Data Build Tool, Snowflake Data Cloud

Hadoop, Etl Development, Scala, Data Modeling, Dataproc, Hive, Presto, Spark, Big Data Technologies, DataFlow, Azure, Python, AWS, Big Query, Airflow, Data lake architecture, Cloud Composer, GCS, GCP technologies

snowflake , AWS Glue, Dimensional Modeling, Automation, Sql, Cloud Migration, ELT, Data Warehousing, Python, Testing, AWS, Etl, Data Platform Modernization, Kimball Dimensional Modeling, CI/CD, Monitoring

PostgreSQL, Apache Spark, Kafka, Apache Airflow, Pandas, MySQL, Elasticsearch, MongoDB, Python, data pipelines, pgvector, Polars, distributed data systems, Qdrant, NoSQL databases, vector databases, OpenSearch, Relational Databases, Milvus

Agile Methodologies, Pyspark, Sql, Big Data Technologies, Microservices, Git, Gcp, Apache Kafka, Spark, Rest Apis, Azure, Python, AWS, Etl, Kafka Connect, Kafka Streams, CI/CD tools, ELT pipelines