Cut the Complexity. Migrate with AI Power.
Our AI Data Squads combine expert delivery and Agentic AI to accelerate complex migrations, improve data quality, and build AI-ready platforms at enterprise scale.
We flex with your goals & position you for what’s next.
Knowledge sharing is deeply embedded in our culture.
Consistent quality across every engagement and phase.
Expert teams that drive impact across the modern data stack.
Hybrid teams of top-tier engineers and embedded AI agents bring deep expertise across Databricks, dbt, and the modern data stack to every project.
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Automates translation of PySpark, pandas, and SSIS projects into modular dbt models for Databricks with aligned best practices and MCP validation
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Recommends implementation patterns based on over 250 proven reference architectures
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Streamlines ETL and ELT development, performance optimization, and workflow reliability
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Ensures compliance through automated validation checks mapped to internal policy and industry standards
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Automates deployment, monitoring, and versioning for machine learning models across production systems
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Maintains live documentation from code and configuration, including lineage and data dictionaries
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Enables intuitive query generation and quick insights using natural language exploration
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Tracks progress, allocates resources, and flags delivery risks using inputs from IndiMesh’s competency matrix
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Automates rigorous testing of data flows, code, and outputs to ensure all components meet internal and regulatory standards
Aura Minerals, a global mining leader, partnered with Indicium to evolve its analytics capabilities and enable AI at scale. As the company’s data strategy matured, Aura decided to modernize its PySpark-based workflows and adopt a future-ready framework powered by dbt.
Indicium combined its AI Data Squads and a team of experts proficient in both PySpark and dbt with a proprietary AI Migration Agent to cut pipeline migration time from 45 hours to just 6. The result: faster analytics delivery, stronger governance, and a more agile data operation.
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