Tiber Solutions — AWS Data Warehousing, AI & Engineering

AWS-Native Data Platforms • Built Fast, Built Right

Tiber Solutions From messy data to decisions you can trust.

AWS-native data and AI: Bedrock LLM apps, SageMaker ML pipelines, streaming, and warehouse foundations

Built secure, scalable, and production-ready

Seamless
Bedrock Integration
LLM apps and RAG on AWS Bedrock + SageMaker
50M+/day
Streaming at Scale
Kinesis Streams & Firehose in production
Trusted
Gov & Healthcare
HIPAA and FAA-ready architectures
< 4 Weeks
Time-to-Insight
From ingestion to dashboards

Our AWS Partnership

We design and operate data platforms natively on AWS, aligning to the Well-Architected Framework across security, reliability, performance efficiency, cost optimization, and operational excellence.

AWS Certified Partner
Proven expertise with AWS tools and services
AWS Partner badge

Technologies We Leverage

We build secure, scalable AWS data and AI platforms with the stack below.

AWS Bedrock
AWS SageMaker
Amazon Kinesis Streams
Amazon Kinesis Firehose
Amazon MSK
AWS Lambda
Apache Flink
Amazon S3
Amazon Redshift
dbt
AWS Glue
Amazon Aurora
ECS Fargate
Terraform
CloudFormation
Step Functions
CloudWatch
AWS IAM
Use Cases

AWS Data Platform Applications

Modern data warehousing & lakehouse S3 • Glue • Athena • Redshift
Streaming ingestion & CDC analytics Kinesis • MSK • Glue Jobs
Generative AI & machine learning Bedrock • SageMaker
dbt transformations & semantic layers Curated marts for BI
Embedded analytics & KPI portals QuickSight • Tableau • Power BI
Cost-aware architectures Lifecycle • Tiering • FinOps

Case Study: Pfizer — Global TBE Risk Tracker

We built an interactive risk assessment tool that helps healthcare providers advise patients and travelers on region-specific Tick-Borne Encephalitis (TBE) risk. The solution processes large, heterogeneous datasets and surfaces model-driven insights via a performant, map-based web UI on Pfizer’s platform.

What We Delivered
  • Processed global TBE case data plus environmental variables across multiple studies.
  • Trained and evaluated ML models to quantify changing risk and environmental suitability.
  • Delivered an interactive tool to support HCP counseling for patients and travelers.
Tech Highlights (AWS + Python)
  • Python data engineering & ML (Pandas/NumPy/scikit-learn; geospatial processing)
  • Amazon S3 as canonical data lake with partitioned parquet layers
  • AWS Glue ETL for scheduled ingestion and normalization
  • Athena / Redshift for ad-hoc analytics and feature aggregation
  • Lambda + Step Functions for orchestration and model scoring
  • API layer (FastAPI/Flask behind API Gateway) for serving model outputs
  • Front-end map visualization integrated within Pfizer’s platform

Public demo link: interactive.digitalpfizer.com/tbe-risk-tracker-tool

Case Study: Metron Aviation — High-Volume Flight Data Streaming

We engineered a scalable pipeline processing over 50 million flight data messages per day, transforming aviation telemetry into analytics-ready datasets for both real-time insights and large-scale historical analysis.

What We Delivered
  • Kinesis Streams for high-throughput ingestion; Firehose delivery into S3.
  • Automated XML→JSON conversion and partitioned storage for query efficiency.
  • dbt modeling in Redshift to curate datasets for internal and partner access.
  • Event filtering/enrichment with Lambda and Apache Flink for real-time analytics.
  • Legacy subscriber integration via ActiveMQ to preserve downstream compatibility.
Tech Highlights
  • Kinesis Streams & Firehose • S3 data lake • Redshift + dbt
  • Lambda • Apache Flink • Terraform • ECS Fargate
  • Operational dashboards, alerting, and SLAs

Core Services

Reusable blueprints + senior hands-on builders. We meet you where you are and move fast.

Modern Data Warehousing

Design and build scalable analytics platforms on AWS with cost control and governance baked in.

  • Lakehouse on S3 • Glue • Athena
  • Redshift & Snowflake modeling
  • dbt, orchestration, CI/CD
Data Engineering at Scale

Reliable pipelines and MLOps-ready foundations using AWS Glue, EMR, Lambda, and Step Functions.

  • Streaming & batch ingestion
  • Quality, lineage, observability
  • Event-driven architectures
Security & Governance

Security-first design with AWS IAM and Lake Formation aligned to your compliance needs.

  • Row/column-level controls
  • Encryption & key management (KMS)
  • Auditability & data cataloging
Analytics & BI

Actionable dashboards your leaders trust—QuickSight, Power BI, Tableau, and embedded analytics.

  • KPI design & semantic layers
  • Data products for business
  • Performance optimization

Why Teams Choose Tiber

Builder DNA

Senior engineers who architect, build, and deliver real production systems.

Reusable Accelerators

IaC blueprints, data model templates, and orchestration frameworks that jump-start delivery.

Speed & Rigor

Move fast without cutting corners—testing, governance, and automation built-in.

Security-First

Encrypted, access-controlled, and compliant from day one on AWS.

Our Delivery Framework

1
Discovery & Alignment

Define outcomes, assess current-state and constraints, establish success metrics and roadmap.

2
Foundation & Security

Stand up accounts, IaC, IAM, networking, and data zones aligned to Well-Architected.

3
Pipelines & Models

Build ingestion, transformations (dbt), tests, and semantic layers with observability.

4
Insights & Enablement

Dashboards, docs, and playbooks; handoff with training and office hours.

Trusted by teams across healthcare, government, defense, and finance.

Get in Touch

Interested in working together or learning more about our AWS data and AI capabilities? Reach out — we’d love to connect.