- capitalize on the knowledge that I have gained while building the data platform

- member of the central dataplatform team working on implementing Data Mesh in the organization

- designed and built an Airflow architecture that has components in AWS(EKS, RDS and EC2) and inside the company VPN to orchestrate workflows accessing on-premise databases and cloud resources

- updated and rebuilt the DataHub deployment of the company for data cataloguing

- created templates for functional data engineers to use to move data with Airflow

- part of the team that built a ChatGPT API for internal usage

- S3-Lambda datalake implementation from scratch

- implementing CI/CD pipelines

- implemented several Docker microservices

- refactored data management code base to a more maintainable state

- implemented CI/CD pipelines

- adapted DevOps practices (more test coverage, code formatting)

- ksqlDB testing pipeline implementation

- first Apache Airflow DAGs implementation

- marketing interfacing data engineer

- agile full stack engineering

- implemented full stack features for chatbot-builder software

- added core features for voicebot product before release

- implementing text-to-speech and speech-to-text based features

- wrote and orchestrated python scripts (20+) to automate data collection and processing

- created dashboards and reports for the company

- database management and maintenance

- GCP migration and handling hit level data in BigQuery