AI and data strategy consulting for M&A and digital transformation
Cuesta Partners is a Chicago-based consulting firm built around data architecture and AI strategy projects, with a tech stack spanning analytics tools (Power BI, Tableau, Alteryx), cloud data platforms (Snowflake, BigQuery, Redshift, Azure Synapse), and ML frameworks (TensorFlow, PyTorch, scikit-learn). The hiring mix is data-heavy (6 of 12 roles) with senior and lead-level focus, reflecting a boutique advisory model rather than a staffing-at-scale operation. Active projects center on M&A due diligence, post-deal integration, and data modernization—pain points like technical debt and legacy on-premises infrastructure suggest they're helping mid-market companies transition from fragmented, aging systems to unified cloud-native analytics platforms.
Notable leadership hires: Tech Lead
Cuesta Partners advises organizational leaders on digital transformation and AI adoption, with particular depth in M&A-related technology assessments and data modernization. Founded in 2019 and based in Chicago, the firm operates as a small partnership (51–200 employees) with active hiring in the United States and Colombia. Project work spans technology due diligence, post-transaction integration strategy, business data modeling, and data warehouse/lake architecture. The team combines hands-on delivery with ML and analytics expertise, working across cloud platforms (AWS, Azure, GCP) and modern data stacks to help clients consolidate decentralized silos and build scalable data pipelines.
Analytics and visualization (Power BI, Tableau, Alteryx), cloud data warehouses (Snowflake, BigQuery, Redshift, Azure Synapse), ML frameworks (TensorFlow, PyTorch, scikit-learn), ETL tools (Fivetran, Matillion, dbt, Keboola), and cloud platforms (AWS, Azure, GCP, Oracle).
Primary project areas include technology due diligence for M&A, post-transaction integration strategies, data warehouse and data lake design, and business data modeling. The firm also delivers process innovation and unified analytics hub architecture for clients.
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