Data Engineering & ETL Pipelines
Reliable, automated pipelines that ingest, transform and load your data with full observability. No more broken exports or manual refreshes.
Apache SparkdbtAirflowKafka
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Next-Generation Data & Analytics
Engineering
The Future of Insight
Mindlytics transforms raw, scattered data into actionable business intelligence, empowering organizations to move faster and decide smarter.
What We Do
Every layer of the modern data stack
We work with your existing stack or recommend the best tools for your scale and budget. No vendor lock-in.
Cloud Data Platforms
Modern data warehouse and lakehouse architectures on Snowflake, BigQuery or Redshift, scalable from your first 10GB to multiple terabytes.
SnowflakeBigQueryRedshiftAzure
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Business Intelligence & Dashboards
From C-suite KPI boards to operational drill-downs. Live, self-refreshing dashboards tailored to how your team actually makes decisions.
Power BITableauLookerMetabase
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Advanced Analytics & Predictive Models
Customer segmentation, churn prediction, demand forecasting and ML-powered insights embedded directly into your reporting workflows.
PythonML ModelsForecasting
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Our Competencies
AWS Competencies
- AWS Certified across the full team
- Solutions Architect and Data Engineer certified
- Built on S3, Glue, Redshift, Lambda and Athena
- Infrastructure as code on every engagement
- Documented handover, no ongoing dependency
“Every organization, regardless of size, deserves access to the kind of intelligence that used to require an army of data scientists.”
The Mindlytics Mission
How We Engage
Sprint-based delivery, working output in weeks
Three ways clients typically start with us. Each is scoped up front, delivered in sprints, and handed over documented.
Data Platform Build
A warehouse, the pipelines feeding it, and the models on top. We start with your sources and finish with a governed layer your whole organization can query.
Analytics Sprint
A fixed-scope block aimed at one decision your team keeps making blind. Segmentation, forecasting or churn, delivered as a working model rather than a slide deck.
BI Migration & Handover
Move off brittle spreadsheets and legacy reports onto live dashboards, then train your team to own them. Full documentation, no ongoing dependency.
Careers
Come build the data layer other companies run on
We are a small team in Hyderabad doing consultancy work with an unusual amount of ownership per person. You will not spend a year on one ticket queue.
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01
Real scope, early
Engagements run in sprints, so you own a pipeline or a dashboard end to end within weeks of joining rather than waiting for a hand-me-down.
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02
Breadth on purpose
Across a year you will touch ingestion, warehousing, modelling and BI on several client stacks. That is a lot of range to build early in a career.
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03
We hand work over
Every engagement ends with the client team trained and documented. Explaining your work clearly is part of the job, not an afterthought.