Professional Big Data Bootcamp: Master Data Engineering in 6-10 Weeks
Start your Big Data career from $299 with this intensive 6-10 week bootcamp. Master modern tools and land a role as a Big Data Engineer, Data Architect, or Analytics Engineer with hands-on projects and James Okafor's expert guidance.
What You'll Learn
Career-ready skills, mapped to real hiring outcomes.
- Build scalable data pipelines using Apache Spark and distributed computing frameworks
- Design and optimize columnar data warehouses with Snowflake, Redshift, or BigQuery
- Implement real-time streaming architectures using Kafka and Apache Flink
- Write production-grade SQL for complex transformations and performance tuning
- Deploy and monitor data infrastructure on cloud platforms (AWS, GCP, or Azure)
- Extract actionable insights using advanced analytics and aggregation techniques
Course Curriculum
5 modules · structured, self-paced.
Module 01 Big Data Fundamentals & Distributed Systems
- HDFS architecture
- MapReduce principles
- Hadoop ecosystem overview
- Batch vs. streaming trade-offs
Module 02 Apache Spark & Data Processing at Scale
- Spark RDDs and DataFrames
- SQL on Spark
- Performance optimization
- Partitioning strategies
Module 03 Data Warehousing & SQL Optimization
- Modern data warehouse design
- Star schema modeling
- Query optimization
- Indexing and cost management
Module 04 Real-Time Streaming & Event Processing
- Kafka architecture and producers
- Stream processing with Flink
- Stateful processing
- Late-arriving data handling
Module 05 Production Pipelines & Cloud Deployment
- Infrastructure as code (Terraform)
- Data pipeline orchestration (Airflow)
- Monitoring and alerting
- End-to-end capstone project
Who This Is For
Built for these professionals.
- 01 Software engineers and backend developers pivoting to data infrastructure roles who need hands-on bootcamp intensity over lengthy courses.
- 02 Data analysts wanting to transition into engineering with the ability to build and maintain production data systems.
- 03 Recent graduates with computer science or engineering backgrounds seeking immediate job-market skills and certification.
- 04 Career-switchers from finance, operations, or tech support with solid SQL knowledge ready to upskill to Big Data architecture.
Common questions about this program.
Is this bootcamp suitable if I have no Big Data experience?
Yes, but you should have foundational Python or Scala skills and SQL experience. We assume you understand databases and can write queries. Module 1 covers distributed systems concepts, not basic programming.
What happens after I complete the bootcamp?
You receive a professional certification recognized by employers. We provide job-ready portfolio projects, resume coaching, and introductions to hiring partners. Many graduates land roles within 3-4 weeks of completion.
Can I balance this bootcamp with my current job?
This is a professional-grade intensive program requiring 25-35 hours per week. Most working adults take it part-time over 8-10 weeks. Full-time cohorts complete in 6 weeks. We offer flexible scheduling to support both.
What tools and cloud platforms are covered?
You'll work with Spark, Kafka, Airflow, and Snowflake or BigQuery. The bootcamp uses AWS and GCP for infrastructure. All major cloud platforms implement these patterns, so skills transfer across employers.
Get Started Today
Ready to start your
big data career?
Enroll now and start your Big Data career in 6-10 weeks with industry-recognized certification and James Okafor's expert mentorship.