Tensor LabsTENSORLABS

Data Engineering

Build the data foundation.

Pipelines, warehouses, and real-time dashboards. The data infrastructure your ML models need to work.

2M+ events processed per day

Data engineering and analytics services — pipelines and warehouses

What We Build

What you get

ETL/ELT Pipelines

Automated data extraction, transformation, and loading from APIs, databases, files, and streaming sources. Batch and real-time processing with fault tolerance.

Data Warehouses

Modern analytical storage on Redshift, Snowflake, or Delta Lake. Star schema design, partitioning strategies, and query optimization.

Real-Time Streaming

Event-driven architectures with Apache Kafka and Kinesis. Sub-second latency for live dashboards, alerting, and real-time ML inference.

Analytics Dashboards

Interactive BI dashboards using Metabase, Superset, Grafana, or custom React dashboards with real-time data feeds.

Data Quality & Governance

Automated validation, schema enforcement, lineage tracking, and anomaly detection using Great Expectations and dbt tests.

Geospatial Processing

Specialized pipelines for geographic data — tile generation, coordinate transforms, heatmaps, and spatial indexing with PostGIS and H3.

Built with

Apache AirflowAWS Step FunctionsPrefectDagsterApache SparkpandaspolarsdbtAWS GlueApache KafkaAWS KinesisRedis StreamsPostgreSQLAWS RedshiftS3Delta LakeSnowflakeMetabaseApache SupersetGrafanaGDALtippecanoeH3PostGISMapbox

How we deliver

01

Audit & Strategy

We assess your current data landscape, identify gaps, and design a target architecture aligned with your analytics and ML goals.

02

Pipeline Architecture

Modular, testable pipeline design using infrastructure as code. Every pipeline is version controlled, monitored, and documented.

03

Build & Migrate

Incremental build, test, and deploy. If you are migrating from legacy systems, we handle the transition with zero downtime.

04

Scale & Optimize

Query performance tuning, cost optimization, auto-scaling configurations, and proactive monitoring as you grow.

Next step

Let's build your data infrastructure.

Talk to our engineering team about pipelines, warehouses, and real-time analytics.