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Marcus and Millichap US
6 months
Real Estate
USA
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Marcus & Millichap is a leading real estate investment services firm specializing in commercial property sales, financing, research, and advisory across the United States. The company offers data-driven solutions to investors and institutions by combining market intelligence with a broad network of brokers. With a focus on the real estate finance sector, Marcus & Millichap supports clients in making informed decisions through comprehensive property and financial data integration.
Unified warehouse combining Salesforce, Sheets, API data Automated ETL pipelines for scalable data processing Role-based security for financial data access
Dynamic dashboards tailored to operations and finance
Data Engineer
Python Developer / ETL Specialist
BI Developer / Looker Studio Analyst
Data Governance & Compliance Specialist
Hourly Contract
Eliminating Data Gaps, Inefficient Reporting, and Weak Customer Understanding
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Needed to unify structured and unstructured financial data from various systems
Struggled to handle increasing data volume from APIs and manual inputs
Lack of automation led to inconsistent financial reporting and insights
To meet growing operational demands, we needed a scalable data pipeline that could unify financial and property data from diverse sources like Salesforce, Google Sheets, and external APIs. The goal was to automate ingestion, enforce consistent transformation logic, and maintain high data quality. Equally important was enabling real-time access to key insights through dashboards, ensuring finance and operations teams could make fast, data-driven decisions without relying on manual reporting.
● How do we build a scalable pipeline for financial and property data?
● What tools can ingest from Salesforce, Google Sheets, and APIs reliably?
● How can we ensure data quality and transformation at scale?
● Can we enable real-time dashboards for stakeholders across finance teams
Automated, Scalable Architecture for Unified Financial Data Analytics
To support timely financial analysis and operational visibility, we built a fully automated data pipeline that unified information from Salesforce, Google Sheets, and third-party APIs. Using Python, we scripted data extractions and integrated them into scalable ETL pipelines for cleansing, normalization, and transformation.
All data was centralized in BigQuery to establish a reliable source of truth.
On top of this infrastructure, we developed real-time dashboards in Looker Studio, empowering finance and operations teams with interactive, role-specific insights. The system reduced manual reporting effort, increased data accuracy, and enabled faster, data-backed decision-making across business functions.
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hours/week saved from manual ETL, increasing team productivity.
reduction in operational costs via automation and streamlined workflows.
fewer data processing errors, enhancing reporting accuracy and trust.
faster decision-making enabled by real-time, centralized insights.
DataRopes.ai is a global technology partner which delivers end to end services like data engineering, data analysis, data science and AI & ML
Reviewed on
150 E B St Lbby # 1810
1106 A, 11th floor, Haly Tower,
Sector R DHA Phase 2, Lahore
DataRopes.ai is a global technology partner which delivers end to end services like data engineering, data analysis, data science and AI & ML.
Reviewed on
Address
150 E B St Lbby # 1810
1106 A, 11th floor, Haly Tower,
Sector R DHA Phase 2, Lahore
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