Data Engineering Fundamentals Bootcamp

Data Engineering Fundamentals Bootcamp

Master the core foundations of data engineering in our comprehensive 16-week program. Build production-ready pipelines with SQL, Python, and Apache Spark using real Sri Lankan market data.

16 Weeks
100,000 LKR
Starts August 12, 2025

Build Your Data Engineering Foundation

Our Data Engineering Fundamentals Bootcamp is designed for aspiring data professionals who want to master the essential skills needed to build robust data pipelines and systems. This comprehensive 16-week program combines theoretical knowledge with hands-on practice using real datasets from Sri Lankan telecommunications and e-commerce companies.

You'll learn from industry experts who have built data infrastructure for Dialog Axiata, SLT-MOBITEL, and leading fintech companies in Colombo. Our curriculum is updated monthly to reflect current industry practices and emerging technologies in the Sri Lankan data engineering landscape.

By graduation in December 2025, you'll have completed three capstone projects using actual telecommunications usage data, e-commerce transaction patterns, and banking performance metrics from our industry partners.

What You'll Master

SQL Mastery & Database Optimization

Advanced querying, indexing, and performance tuning

Python for Data Engineering

Pandas, NumPy, and data pipeline libraries

Apache Spark Fundamentals

Distributed processing and big data analytics

ETL Process Development

Extract, Transform, Load pipeline architecture

Career Outcomes & Success Metrics

Our fundamentals bootcamp graduates consistently achieve strong career progression and competitive salaries in Sri Lanka's growing tech sector.

120,000 - 180,000

Average Starting Salary (LKR/month)

92%

Job Placement Rate

85%

Salary Increase vs Previous Role

3.2 Months

Average Time to Employment

Top Hiring Companies

Telecommunications

Dialog Axiata, SLT-MOBITEL, Hutch Sri Lanka

Banking & Finance

Commercial Bank, HNB, Sampath Bank

Tech Companies

WSO2, Virtusa, IFS, Sysco LABS

Professional Equipment & Technologies

Learn using the same tools and platforms that power Sri Lanka's largest data infrastructures.

Database Technologies

PostgreSQL & MySQL
MongoDB & Redis
Apache Cassandra
Data Warehouse Design

Programming & Frameworks

Python (Pandas, NumPy)
Apache Spark (PySpark)
SQL Advanced Querying
Git Version Control

Cloud & Infrastructure

AWS Fundamentals
Google Cloud Platform
Linux Command Line
Docker Basics

Development Environment Included

Each student receives access to fully configured cloud development environments, eliminating setup time and ensuring consistency across all projects.

Dedicated AWS EC2 instances
Pre-loaded sample datasets
All software licenses included
6-month post-graduation access

Data Security & Professional Standards

Learn industry best practices for data privacy, security, and ethical handling that meet international standards.

Data Privacy & Protection

Encryption Standards

AES-256 encryption for data at rest and in transit

Access Control

Role-based permissions and authentication protocols

Data Anonymization

PII removal and synthetic data generation techniques

Compliance & Ethics

Regulatory Compliance

GDPR, CCPA, and Sri Lankan data protection laws

Ethical Guidelines

Responsible AI and bias prevention in data processing

Documentation Standards

Audit trails and data lineage best practices

Industry Certification Preparation

Our curriculum aligns with major industry certifications, preparing you for recognized credentials that employers value.

AWS Certified Data Engineer Associate
Google Cloud Professional Data Engineer
Databricks Certified Data Engineer

Perfect For Aspiring Data Professionals

This foundational program is designed for professionals ready to transition into data engineering or enhance their current technical skills.

Recent Graduates

Computer science, engineering, or mathematics graduates seeking specialized data engineering skills for immediate industry entry.

Software Developers

Experienced programmers wanting to specialize in data infrastructure, ETL processes, and large-scale data systems.

Data Analysts

Current analysts seeking to build the infrastructure and pipeline skills needed for senior data engineering positions.

IT Professionals

Database administrators, system engineers, and IT specialists ready to transition into modern data engineering roles.

Career Changers

Professionals from finance, consulting, or other technical fields seeking a structured path into data engineering.

Entrepreneurs

Startup founders and business leaders who need to understand data infrastructure for their growing companies.

Prerequisites & Expectations

Recommended Background

  • Basic programming exposure (any language)
  • Comfort with command line interfaces
  • Logical problem-solving abilities
  • Bachelor's degree or equivalent experience

Time Commitment

  • 12-15 hours per week
  • 3 evening sessions (3 hours each)
  • Weekend project work (3-6 hours)
  • Self-study and assignments

Progress Tracking & Performance Measurement

Monitor your learning journey with comprehensive assessment tools and real-time progress indicators designed for data engineering mastery.

Weekly Progress Assessments

Coding Challenges

SQL queries and Python scripts using real telecommunications data

Mini-Project Deliverables

End-to-end pipeline implementations with performance benchmarks

Peer Code Reviews

Collaborative assessment and best practices sharing

Milestone Achievements

Week 4: SQL Mastery
Week 8: Python Pipelines
Week 12: Spark Processing
Week 16: Capstone Project

Performance Dashboard

Technical Skills 87%
Project Completion 92%
Code Quality 79%
Participation 95%

Continuous Feedback

Weekly 1:1 Sessions

Personal mentoring with senior data engineers

Targeted Improvement Plans

Customized learning paths based on assessment results

Industry Readiness Reports

Monthly assessments of job market preparedness

Continue Your Data Engineering Journey

Advance your skills with our specialized programs designed for different career paths and experience levels.

Big Data & Cloud Engineering Specialization

Advanced 14-week program focusing on big data technologies, cloud platforms, and streaming data processing for enterprise-scale solutions.

  • Hadoop, Kafka, and Airflow mastery
  • AWS and GCP cloud platforms
  • Docker containerization
  • Infrastructure as code
130,000 LKR 14 weeks
Learn More

Enterprise Data Architecture Program

Premium 20-week comprehensive program covering data lake design, real-time analytics, and scalable system architecture.

  • Data lake architecture design
  • Real-time analytics systems
  • Senior mentor guidance
  • Guaranteed internship placement
180,000 LKR 20 weeks
Learn More

Ready to Start Your Data Engineering Career?

Join our Data Engineering Fundamentals Bootcamp starting August 12, 2025. Early bird pricing available until August 5, 2025.

Next cohort starts: August 12, 2025

Limited to 20 students per cohort

Early bird discount ends: August 5, 2025