data engineering , AWS, Sql, Postman, Python, Azure, Apache Spark, JIRA, Pyspark

data engineering , Database technologies (Snowflake preferred), Python, Etl, Data Stage, ELT frameworks, Data pipelines, ETL development using PowerCenter, AI/ML concepts and implementations, AWS preferred or any other ETL tool

Cloud deployment, Machine Learning, Nlp, Database Management, Python, LLMOps, LLM GenAI

Github, Cloud security, Cloudformation, Microservices, Jenkins, Databases, Terraform, Docker, Gitlab, Rest Apis, Kubernetes, Event-driven architecture, Azure DevOps pipelines, Release deployment practices, Observability

snowflake , Python

Pyspark, Sql, ELT, Azure Data Factory, Spark, Etl, Azure DevOps, Azure Databricks, Synapse, ADLS, Delta Lake, CI CD

Aws Lambda, Amazon Kinesis, AWS Glue, Automated Testing, Version Control, AWS IAM, Apache Iceberg, Alerting, Infrastructure automation, AWS Lake Formation, Databricks Unity Catalog, Delta Lake, Monitoring

, Rest Apis, Sql, Databricks, Lambda, Agile Methodologies, RDS, Pyspark, Etl, Azure DevOps, S3, ELT, Database Design, Aws Services, Data Architecture, Apache Spark, Mulesoft, Python, Cloudwatch, Data Modeling, Data Quality Validation, Data Orchestration Workflows, Data Ingestion, API Integrations, Step Functions, Aurora, Processing Large-Scale Datasets, Legacy System Migration

Apis, Workflow, System Troubleshooting, Integrations, Sql, Technical Documentation, Custom Development, Ellucian Banner, Extensions, Reporting

reporting technologies , Web Services, Technical Leadership, Otbi, Pl Sql, Data Migration, Xslt, Sql, Technical Architecture, REST, Xml, Oracle Integration Cloud OIC, SOAP APIs, middleware integration frameworks, Oracle Fusion Applications, BI Publisher BIP, file-based integrations