Skip to main content
JustSoftLabJustSoftLab
JustSoftLabJustSoftLab
AI Assistant
Services/Data Engineering

Data foundations that actually scale.

Pipelines, lakehouses, governance, migration. We build the data infrastructure that makes everything else — AI, analytics, automation — work. Clean data in, clean decisions out.

12x

Faster reporting pipeline

99.7%

Data quality score post-migration

40%

Infrastructure cost reduction

6 wks

From legacy warehouse to lakehouse

What we build

Data infrastructure for every stage of the journey.

Sound familiar?

Data problems we solve every month.

Our reports take 6 hours to run. The business decided by gut instead.

We rebuild the pipeline architecture. Sub-minute reporting. Incremental processing. Your team gets data they can actually act on.

We migrated to the cloud. Our data quality got worse.

We implement automated quality gates, lineage tracking, and alerting. Bad data gets caught at ingestion — not in the board meeting.

Every team has their own version of "revenue."

We build a shared semantic layer and metrics store. One source of truth. Every dashboard, every team, same numbers.

Our data team spends 80% of their time fixing pipelines.

We redesign for reliability — idempotent pipelines, automated retries, self-healing jobs, and proper orchestration. Your engineers go back to building.

How we deliver

From audit to production pipelines.

01

Data Audit

We map your current data landscape — sources, pipelines, quality issues, team capabilities. No assumptions. Just facts.

02

Architecture Design

Target architecture, migration strategy, tool selection. You get a blueprint that your team can review, challenge, and commit to.

03

Build & Migrate

Sprint-based pipeline development and migration. Each sprint delivers working, tested pipelines — not slide updates.

04

Harden & Handoff

Monitoring, alerting, documentation, runbooks. We hand off systems that your team can operate independently from day one.

Our stack

Tools we actually use in production.

Apache Spark
Apache Kafka
Apache Flink
Apache Airflow
dbt
Dagster
Prefect
Fivetran
Snowflake
Databricks
BigQuery
Redshift
Delta Lake
Apache Iceberg
Apache Hudi
PostgreSQL
AWS (S3, Glue, EMR)
Azure Data Factory
GCP Dataflow
Kubernetes
Great Expectations
Monte Carlo
Atlan
dbt Cloud

Ready to fix your data

Let's build data infrastructure that works.

45 minutes with our data architects. We'll audit your current state and tell you honestly what's worth rebuilding — and what isn't.