Turning fragmented restaurant data into a usable digital directory

Client

Roy — Data Pipeline

Year

2023

Roy needed restaurant information gathered from across the country, cleaned, and prepared for an online directory. I built a data pipeline that collected the source records, filtered out chain restaurants, and moved the final dataset into a structured digital product.

Scope of Work

Data Collection
Filtering
Pipeline Automation
Directory Delivery

"Lang's built a complex data pipeline that collected restaurant data nationwide, filtered out chain restaurants, and moved the final dataset into an online directory. He took a messy, large-scale data problem and turned it into a useful digital product."

Roy H.

Founder

"Lang's built a complex data pipeline that collected restaurant data nationwide, filtered out chain restaurants, and moved the final dataset into an online directory. He took a messy, large-scale data problem and turned it into a useful digital product."

Roy H.

Founder

Trusted by many

Trusted by many

10+ Founders Helped

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10+ Founders Helped

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