Bayo Adejare
@bayoadejare.bsky.social
📈 Data Engineer - building out new integrations to support increasing data volume and complexity. Views expressed are mine.
linktr.ee/bayoadejare
linktr.ee/bayoadejare
𝟓/𝟓
Data quality = AI quality. What's your biggest data transformation challenge?
Like/Repost if you're building data pipelines! 🔁
#DataEngineering #TimescaleDB #FeatureEngineering #MLOps
Data quality = AI quality. What's your biggest data transformation challenge?
Like/Repost if you're building data pipelines! 🔁
#DataEngineering #TimescaleDB #FeatureEngineering #MLOps
November 19, 2025 at 12:19 AM
𝟓/𝟓
Data quality = AI quality. What's your biggest data transformation challenge?
Like/Repost if you're building data pipelines! 🔁
#DataEngineering #TimescaleDB #FeatureEngineering #MLOps
Data quality = AI quality. What's your biggest data transformation challenge?
Like/Repost if you're building data pipelines! 🔁
#DataEngineering #TimescaleDB #FeatureEngineering #MLOps
𝟒/𝟓
Watch the transformation deep dive:
youtu.be/ZiWpNQ9mVoQ
Next: Episode 6 - Predictive Maintenance Models (94% accuracy!)
Watch the transformation deep dive:
youtu.be/ZiWpNQ9mVoQ
Next: Episode 6 - Predictive Maintenance Models (94% accuracy!)
⚗️ From Raw Data to Insights: ETL with TimescaleDB & MinIO Pt. 5
YouTube video by Bayo Adejare
youtu.be
November 19, 2025 at 12:19 AM
𝟒/𝟓
Watch the transformation deep dive:
youtu.be/ZiWpNQ9mVoQ
Next: Episode 6 - Predictive Maintenance Models (94% accuracy!)
Watch the transformation deep dive:
youtu.be/ZiWpNQ9mVoQ
Next: Episode 6 - Predictive Maintenance Models (94% accuracy!)
𝟑/𝟓
Results matter:
• 94% data compression
• Sub-second queries on 100M+ records
• 90% cheaper than cloud data warehouses
Results matter:
• 94% data compression
• Sub-second queries on 100M+ records
• 90% cheaper than cloud data warehouses
November 19, 2025 at 12:19 AM
𝟑/𝟓
Results matter:
• 94% data compression
• Sub-second queries on 100M+ records
• 90% cheaper than cloud data warehouses
Results matter:
• 94% data compression
• Sub-second queries on 100M+ records
• 90% cheaper than cloud data warehouses
𝟐/𝟓
What we cover:
✅ TimescaleDB hypertables (100x faster queries)
✅ Feature engineering (rolling averages, lag features)
✅ MinIO object storage (S3-compatible)
✅ Data quality validation
✅ Batch vs. streaming processing
What we cover:
✅ TimescaleDB hypertables (100x faster queries)
✅ Feature engineering (rolling averages, lag features)
✅ MinIO object storage (S3-compatible)
✅ Data quality validation
✅ Batch vs. streaming processing
November 19, 2025 at 12:19 AM
𝟐/𝟓
What we cover:
✅ TimescaleDB hypertables (100x faster queries)
✅ Feature engineering (rolling averages, lag features)
✅ MinIO object storage (S3-compatible)
✅ Data quality validation
✅ Batch vs. streaming processing
What we cover:
✅ TimescaleDB hypertables (100x faster queries)
✅ Feature engineering (rolling averages, lag features)
✅ MinIO object storage (S3-compatible)
✅ Data quality validation
✅ Batch vs. streaming processing
The Medallion Architecture (Bronze→Silver→Gold) with Databricks & Synapse is still delivering golden insights today.
Proven architecture > quick fixes.
Full deep-dive: t.co/Q5KTdiRaA3
#DataEngineering #Azure #Databricks #Analytics
Proven architecture > quick fixes.
Full deep-dive: t.co/Q5KTdiRaA3
#DataEngineering #Azure #Databricks #Analytics
https://blog.devgenius.io/from-data-chaos-to-gold-building-a-modern-e-commerce-analytics-pipeline-with-azure-f8c0505031b2
t.co
November 13, 2025 at 2:27 PM
The Medallion Architecture (Bronze→Silver→Gold) with Databricks & Synapse is still delivering golden insights today.
Proven architecture > quick fixes.
Full deep-dive: t.co/Q5KTdiRaA3
#DataEngineering #Azure #Databricks #Analytics
Proven architecture > quick fixes.
Full deep-dive: t.co/Q5KTdiRaA3
#DataEngineering #Azure #Databricks #Analytics
Reposted by Bayo Adejare
The best choice isn't about the trend; it's about balancing your tolerance for risk, cost, and complexity on the journey to delivering value.
August 21, 2025 at 2:03 AM
The best choice isn't about the trend; it's about balancing your tolerance for risk, cost, and complexity on the journey to delivering value.
5/5
Building real-time data systems? What's your biggest challenge?
Like/Repost if you're building with us! 🔁
#Kafka #DataEngineering #IoT #OpenSource
Building real-time data systems? What's your biggest challenge?
Like/Repost if you're building with us! 🔁
#Kafka #DataEngineering #IoT #OpenSource
September 19, 2025 at 2:24 AM
5/5
Building real-time data systems? What's your biggest challenge?
Like/Repost if you're building with us! 🔁
#Kafka #DataEngineering #IoT #OpenSource
Building real-time data systems? What's your biggest challenge?
Like/Repost if you're building with us! 🔁
#Kafka #DataEngineering #IoT #OpenSource
4/5
Watch here:
youtube.com/watch?v=FX68...
Next: Episode 5 - Data Transformation & Feature Engineering.
Watch here:
youtube.com/watch?v=FX68...
Next: Episode 5 - Data Transformation & Feature Engineering.
Real-Time Vehicle Data Streaming with Apache Kafka | Python & Faust Pt. 4
YouTube video by Bayo Adejare
youtube.com
September 19, 2025 at 2:24 AM
4/5
Watch here:
youtube.com/watch?v=FX68...
Next: Episode 5 - Data Transformation & Feature Engineering.
Watch here:
youtube.com/watch?v=FX68...
Next: Episode 5 - Data Transformation & Feature Engineering.
3/5
We turn this raw OBD-II data:
`7E8 06 41 00 BF 9B 00 00 00`
Into clean, real-time JSON for ML models.
We turn this raw OBD-II data:
`7E8 06 41 00 BF 9B 00 00 00`
Into clean, real-time JSON for ML models.
September 19, 2025 at 2:24 AM
3/5
We turn this raw OBD-II data:
`7E8 06 41 00 BF 9B 00 00 00`
Into clean, real-time JSON for ML models.
We turn this raw OBD-II data:
`7E8 06 41 00 BF 9B 00 00 00`
Into clean, real-time JSON for ML models.
2/5
Tech Stack:
✅ Apache Kafka + Faust (in Python)
✅ OBD-II device integration
✅ Real-time anomaly detection
✅ Exactly-once processing (no data loss)
All with open-source tools.
Tech Stack:
✅ Apache Kafka + Faust (in Python)
✅ OBD-II device integration
✅ Real-time anomaly detection
✅ Exactly-once processing (no data loss)
All with open-source tools.
September 19, 2025 at 2:24 AM
2/5
Tech Stack:
✅ Apache Kafka + Faust (in Python)
✅ OBD-II device integration
✅ Real-time anomaly detection
✅ Exactly-once processing (no data loss)
All with open-source tools.
Tech Stack:
✅ Apache Kafka + Faust (in Python)
✅ OBD-II device integration
✅ Real-time anomaly detection
✅ Exactly-once processing (no data loss)
All with open-source tools.
Reposted by Bayo Adejare
🌟 ABAC advantages: More flexible & granular control, better for zero trust, fewer custom roles needed, stronger security through contextual awareness. (5/7)
April 26, 2025 at 1:41 PM
🌟 ABAC advantages: More flexible & granular control, better for zero trust, fewer custom roles needed, stronger security through contextual awareness. (5/7)
Reposted by Bayo Adejare
9/ 🌟 𝐖𝐡𝐲 𝐉𝐨𝐢𝐧 𝐔𝐬?
🌍 Shape the future of data-driven decision-making.
🚀 Work in a fast-paced, collaborative environment where your ideas matter.
💡 Tackle challenges that push you to grow and innovate daily.
🎉 Be part of a culture that values curiosity, creativity, and a good laugh.
🌍 Shape the future of data-driven decision-making.
🚀 Work in a fast-paced, collaborative environment where your ideas matter.
💡 Tackle challenges that push you to grow and innovate daily.
🎉 Be part of a culture that values curiosity, creativity, and a good laugh.
March 10, 2025 at 2:41 AM
9/ 🌟 𝐖𝐡𝐲 𝐉𝐨𝐢𝐧 𝐔𝐬?
🌍 Shape the future of data-driven decision-making.
🚀 Work in a fast-paced, collaborative environment where your ideas matter.
💡 Tackle challenges that push you to grow and innovate daily.
🎉 Be part of a culture that values curiosity, creativity, and a good laugh.
🌍 Shape the future of data-driven decision-making.
🚀 Work in a fast-paced, collaborative environment where your ideas matter.
💡 Tackle challenges that push you to grow and innovate daily.
🎉 Be part of a culture that values curiosity, creativity, and a good laugh.
Ready to build your own fleet platform?
Like/Repost if you're following along! 🔁
#Docker #Kafka #MLOps #OpenSource #FleetTech
Like/Repost if you're following along! 🔁
#Docker #Kafka #MLOps #OpenSource #FleetTech
September 10, 2025 at 1:12 AM
Ready to build your own fleet platform?
Like/Repost if you're following along! 🔁
#Docker #Kafka #MLOps #OpenSource #FleetTech
Like/Repost if you're following along! 🔁
#Docker #Kafka #MLOps #OpenSource #FleetTech
Watch the full setup walkthrough:
youtu.be/koaX4_kCCDU
Next up: Episode 4 - Real-time data ingestion from OBD-II devices.
youtu.be/koaX4_kCCDU
Next up: Episode 4 - Real-time data ingestion from OBD-II devices.
Local Development Setup: Docker Compose in 10 Minutes | Fleet Optimization Pt. 3
YouTube video by Bayo Adejare
youtu.be
September 10, 2025 at 1:12 AM
Watch the full setup walkthrough:
youtu.be/koaX4_kCCDU
Next up: Episode 4 - Real-time data ingestion from OBD-II devices.
youtu.be/koaX4_kCCDU
Next up: Episode 4 - Real-time data ingestion from OBD-II devices.
The magic command:
`docker compose up -d`
That's it. Your entire dev environment is ready. Perfect for testing predictive maintenance & routing algorithms.
`docker compose up -d`
That's it. Your entire dev environment is ready. Perfect for testing predictive maintenance & routing algorithms.
September 10, 2025 at 1:12 AM
The magic command:
`docker compose up -d`
That's it. Your entire dev environment is ready. Perfect for testing predictive maintenance & routing algorithms.
`docker compose up -d`
That's it. Your entire dev environment is ready. Perfect for testing predictive maintenance & routing algorithms.
✅ Kafka cluster for real-time data
✅ TimescaleDB for time-series
✅ MinIO (S3-compatible) for storage
✅ MLflow for model tracking
✅ Grafana + Dash dashboards
✅ 100+ simulated vehicles
✅ TimescaleDB for time-series
✅ MinIO (S3-compatible) for storage
✅ MLflow for model tracking
✅ Grafana + Dash dashboards
✅ 100+ simulated vehicles
September 10, 2025 at 1:12 AM
✅ Kafka cluster for real-time data
✅ TimescaleDB for time-series
✅ MinIO (S3-compatible) for storage
✅ MLflow for model tracking
✅ Grafana + Dash dashboards
✅ 100+ simulated vehicles
✅ TimescaleDB for time-series
✅ MinIO (S3-compatible) for storage
✅ MLflow for model tracking
✅ Grafana + Dash dashboards
✅ 100+ simulated vehicles