We help teams move enterprise data from Teradata, HDFS, Hive, Oracle, and Netezza into governed cloud analytics on BigQuery, Snowflake, and modern cloud platforms — with senior architecture, validation, and cost control built in.
Founder-led delivery for companies that need enterprise-grade execution without building a full internal data team.
From a single cost review to a full enterprise migration — scoped to what you actually need.
End-to-end migration of Teradata workloads — schema conversion, BTEQ script translation, validation, and cutover — with zero-downtime patterns for production systems.
Migrate Hadoop-ecosystem data platforms — HDFS, Hive, Spark jobs — into BigQuery with a re-architected, cloud-native pipeline instead of a lift-and-shift.
Metadata management, lineage, and access-control implementations using Dataplex, Alation, or DataHub — built for audit-readiness, not just documentation.
Audit slot usage, partition strategy, and query patterns to cut your BigQuery bill — most engagements pay for themselves within one billing cycle.
Senior architecture guidance on retainer — for teams that need a data lead's judgment without a full-time hire. Reviews, roadmaps, and hands-on unblocking.
Stand up or rebuild reporting on Looker Studio or Power BI, connected directly to your warehouse — no more exported spreadsheets.
The same senior team that scopes your migration stays close to architecture, validation, and delivery review.
Assessments and well-scoped work are fixed-fee. You know the number before we start, not after.
Our patterns come from programs run at 1,000+ TB scale — battle-tested, not theoretical.
Every engagement starts under NDA. Your schema, your data, and your roadmap stay yours.
You work directly with Roop Rajput on client coordination and with Pradeep G on technical architecture, governance, and delivery quality.
Leads client coordination, partnerships, and engagement operations. Your first point of contact from assessment request to delivery kickoff.
Leads technical strategy, migration architecture, governance design, and delivery review. Brings enterprise-scale GCP data engineering experience from programs spanning 1,000+ TB.
A charted five-stage route every migration follows — so nothing gets improvised mid-voyage.
Inventory your current platform — tables, dependencies, job schedules, and data volume — to scope the real size of the work.
A migration roadmap with sequencing, risk points, and a realistic timeline — reviewed with your team before anything moves.
Schema and script conversion — including BTEQ, stored procedures, and job orchestration — rebuilt for BigQuery, not just translated.
Batch-by-batch cutover with row-level validation at each step, so discrepancies get caught immediately, not at go-live.
Cataloging, lineage, and access controls put in place so the new platform stays audit-ready from day one.
Start small and prove the value, or go straight to a full migration. No RFP required.
MigrateIQ (MIKO) is our B2B tool for automating Teradata-to-BigQuery schema conversion and validation — built from patterns we've run by hand across 1,000+ TB of production migrations. Currently in closed beta with a small group of early partners.
No email required for the checklist. The rest take thirty seconds to unlock. Use them whether or not you ever talk to us.
20 things to verify before you start a Teradata or HDFS migration — the questions that surface risk before it becomes a change order.
Download PDF25 side-by-side patterns — sentinel dates, BYTES casting, QUALIFY, VOLATILE TABLE equivalents — with the failure mode each one causes.
Unlock on Resources13 ready-to-run DBC queries that produce a full system inventory in the first hour of any assessment — table counts, skew, charset risk, top objects.
Unlock on ResourcesEnter your data volume, schema count, and BTEQ script count — get a real cost range and risk read in fifteen seconds, not a follow-up call.
Try the Estimator →Plus a free Data Governance Template Pack (catalog, lineage, access-matrix, DQ rules) — see everything on the Resources page →
Legacy Teradata warehouse approaching end-of-support, powering daily merchandising and finance reporting.
Phased, batch-by-batch migration with parallel validation against the legacy system before each cutover.
No unified view of marketing performance across properties; reporting was manual and inconsistent.
GA4 implementation with custom event tracking, feeding a live Looker Studio dashboard.
Aging Hadoop cluster with thousands of tables and undocumented dependencies across claims and policy systems.
Automated dependency mapping followed by a phased, risk-ranked migration sequence.
Scope should get clearer, not foggier. We surface charset, script, scheduler, lineage, and validation risks before they become change orders.
Dashboards should ship with clean event definitions, business-readable metrics, and enough documentation that your team can own them after handover.
Founder-led means the people who scope the work stay close to delivery. You get senior review, direct communication, and fewer hand-off gaps.
Yes — we actively serve clients across India, Australia, the UAE, the USA, the UK, and Canada. All coordination happens over video calls and shared documentation, with overlap hours arranged around your time zone.
Primarily Teradata, HDFS/Hive, Oracle, and Netezza as source systems, migrating into BigQuery (and Snowflake where that's the better fit). If your platform isn't listed, ask — the underlying migration patterns generalize well.
It depends entirely on scope — a focused departmental migration can close in 6-8 weeks, while a full enterprise platform spans several months. The Migration Assessment gives you a real timeline before you commit to anything.
A structured review of your current platform, a complexity and risk score, and a fixed-price proposal for the actual migration — no obligation to proceed, and no generic sales deck.
Both. Well-scoped work — assessments, dashboards, cost reviews, most migrations — is fixed-price. Open-ended advisory work runs as a fractional retainer instead. You'll always know which one you're signing up for before you commit.
Every engagement starts with an NDA before any data or schema details are shared. Access is scoped to what the project needs, and case studies are only published anonymized or with explicit client sign-off.
No. The Migration Readiness Checklist, the SQL Cheat Sheet, the Query Pack, the Cost Estimator, and the Governance Template Pack are free to use whether or not you ever become a client — see the Resources page.
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