Squarepeg Hires is an intelligent platform that utilizes advanced technology to streamline and optimize the hiring process for companies, emphasizing data-driven insights and automation.
We partnered closely with them to deliver a customized data engineering solution that integrates data from diverse sources, including Google Analytics, LinkedIn Ads, Apollo API, Smartleads, and Google Sheets, into a cohesive workflow.
By implementing a scalable data infrastructure using powerful tools like BigQuery, Airbyte, and Apache Airflow, we ensured effective management of large volumes of information. This setup allows for rapid and secure data storage and querying, enabling our client to efficiently extract, transform, and load candidate data from various sources.
As a result, our comprehensive solution enhanced the client’s hiring process by providing real-time access to accurate information, facilitating informed decision-making regarding talent acquisition.
Before Implementation
The client faced difficulties in accessing data from siloed sources, leading to inefficiencies and delays in their hiring process.
Data handling involved extensive manual formatting and processing, leading to errors.
As the volume of data grew, the existing infrastructure struggled to scale, impacting performance and the ability to extract insights.
Key Improvements
Implemented a centralized data infrastructure, providing the client with seamless access to all relevant data from various sources.
Developed automated ETL pipelines that significantly reduced manual intervention.
Leveraged cloud technologies to create a scalable architecture that can efficiently handle increasing data volumes without compromising performance.
Project Overview
1.
Data Integration
We implemented Airbyte to seamlessly connect and integrate data from multiple sources (GA4, LinkedIn Ads, Apollo API). This involved configuring pre-built connectors to ensure efficient data extraction, setting the foundation for a unified data workflow.
2.
Data Processing
Utilizing Apache Airflow, we orchestrated the ETL processes to automate data workflows. We built two pipelines: one for LinkedIn data extraction and another for PostgreSQL synchronization. This involved data cleaning and enrichment.
3.
Data Storage
We leveraged BigQuery as the primary data warehouse to securely store and manage the ingested data. Structured views for key metrics were created to enable fast querying and reporting, ensuring that the data was readily accessible for analysis.
4.
Reporting
The processed data was visualized through Data Studio dashboards, providing real-time insights into key performance metrics. We utilized DBT (Data Build Tool) to model and transform the data, enhancing the reporting capabilities and ensuring stakeholders had access to actionable insights.
Airflow
Airbyte
BigQuery
DBT
Technologies used
Brandon Turnbull
Marketing Operations Manager - SquarePeg
"Working with Datakimia has transformed our hiring process. Their tailored data engineering solution has enabled us to access real-time insights and make data-driven decisions, significantly improving our talent acquisition strategy. We couldn't be more pleased with the results."
