Principal And Data Science Lead
Current- Managing data science and data engineering projects for multiple clients- Scoping data projects for maximum ROI and minimum upfront investment- Collecting and integrating data from ERPs, CRMs, e-commerce sites, publicly available data sources (including web scraping), and various SaaS platforms- Data warehouse and database development in Amazon Redshift, Google BigQuery, Azure Synapse, Snowflake, Postgres and various flavors of SQL, in the cloud or on-premise- Building NLP pipelines to process, parse, tag, and aggregate terabytes of text data- Data engineering and ETL pipeline automation in Google Cloud Functions, Dataflow, AWS Step Functions + Lambda, Databricks + Spark, dbt, and various serverless architectures- Business process automation, including automated communications, reporting, web portals, and integrations with third parties- Pushing aggregated and cleaned information into CRMs such as Salesforce and Hubspot to better support sales and marketing efforts- Business intelligence and automated reporting development in Tableau, Looker, Power BI, and Google Data Studio- Google Cloud, AWS, and Azure data infrastructure development