• Data engineering on Azure Databricks (pyspark, python)

• Productionising AI projects such as building infrastructure, API's, and security.

• Comfortable working on AWS (S3, Glue, Lambda, Textract) and Azure (Storage, Container Apps, Key Vault etc) including experience on cross cloud functionality.

• Worked with graph databases (Neo4J, Azure CosmosDB)

• Daily work involves working with CI/CD on Azure DevOps

• Experience handling compliance around sensitive data.

• Daily work revolves around optimizing existing ETL pipelines (from SSIS packages) and automating processes on Azure Data Factory, using Azure Functions App, Azure Synapse Analytics, Azure SQL Server, and Power BI

• Hands on knowledge of AWS (Lambda, Glue, Athena, Quicksight) and GCP (Terraform, Cloud Dataflow, BigQuery), with dbt in Data Engineering infrastructure and architecture

• Supporting clients in ESG data and reporting requirements (TCFD, PCAF, Scope 3 emissions, Pillar III),with IBM training in Envizi.

• Microsoft Certified in Azure Data Engineering (2023/2024)

• Working on various Azure technologies such as CosmosDB, Microsoft Graph, Azure Storage, Function Apps, EventHubs, Active Directory B2C, Azure Kubernetes Service, SQL Database

• Gaining experience in using Confluent Kafka to handle data

• Daily use of FastAPI to handle web API's, along with Postman, Microsoft API Management, and Docker

• Joined a DevOps team responsible working on AWS CodePipeline

• Worked on a project involving Docker and another on AWS CloudFormation