I now manage a data engineering team at Spaulding Ridge, an award-winning businesstransformation firm. From cloud advisory to implementation, Spaulding Ridge has in-depth knowledge on numerous best-in-cloud applications, including Salesforce, DocuSign, NetSuite, Snowflake, along with Anaplan and OneStream.

Data Clymer is now a part of Spaulding Ridge, a leading management consulting firm with a strong data practice. We continue to provide a proven methodology that includes full data warehouse stack implementation, data democratization, custom training, and analytics to enable data-driven decisions across the organization.

▪ Design and implement analytical data models▪ Develop data pipelines (ETL/ELT) using Matillion, Fivetran, & DBT▪ Configure data warehouse accounts, roles, databases, and schemas within Snowflake ▪ Audit data and investing issues through resolution▪ Work with client teams to help create a data driven culture▪ Gather and documenting requirements for client projects▪ Research and implement technical solutions for client projects▪ Develop analytics through BI tools using Looker, Tableau, and Sigma

▪ Design and implement analytical data models▪ Develop data pipelines (ETL/ELT) using Matillion, Fivetran, & DBT▪ Configure data warehouse accounts, roles, databases, and schemas within Snowflake ▪ Audit data and investing issues through resolution▪ Work with client teams to help create a data driven culture▪ Gather and documenting requirements for client projects▪ Research and implement technical solutions for client projects▪ Develop analytics through BI tools using Looker, Tableau, and Yellowfin BI

▪ Owned building out reporting and self-service data exploration capabilities in Looker by applying best practices with regards to LookML models, looks, and dashboards▪ Oversaw training and adoption of Looker as a reporting / data exploration platform, host training sessions and “Looker hours”▪ Developed and owned the LookML models as we’ve grown and mature our use of Looker▪ Managed users and permissions, and sensitive data visibility▪ Created and maintained a centralized knowledge base (data & metric glossaries, catalog of reports & dashboards) to simplify and promote the ease of data-driven decision making

▪ Design, build, and maintain data pipelines using Apache Airflow, AWS Lambda, Matillion, Python 3.X and SQL▪ Identify and safely solve problems in existing datasets, including the design of renumeration processes that do not interrupt or otherwise damage existing reporting▪ Help with data cleanup efforts, as required▪ Develop data profiling processes to facilitate better data quality checks▪ Build datasets using SQL for reporting purposes▪ Design and maintain reports for end users with the Looker reporting tool▪ Provide support for ad-hoc data requests and file processing, using various file formats such as XML, CSV and JSON

▪ Built tools for over 50 merchandising buyers using SQL, Excel (VBA), and MicroStrategy to forecast day-by-day sales for fourth quarter and Black Friday▪ Navigated large data sets to identify trends and offer recommendations on strategy▪ Supported buying teams with pricing, forecasting, and margin analysis to optimize assortment, SKU performance, and conversion rates