Data Engineering
Overview
Comprehensive expertise in designing, building, and maintaining data infrastructure and pipelines. Specialized in creating scalable data solutions that enable efficient data processing, storage, and analysis for business intelligence and machine learning applications.
Key Competencies
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Data Pipeline Development
Experience in building robust ETL/ELT pipelines, implementing data workflows, and ensuring data quality and reliability throughout the processing chain.
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Big Data Technologies
Proficiency in distributed computing frameworks, big data processing tools, and cloud-based data solutions for handling large-scale data operations.
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Database Management
Expert knowledge in designing and optimizing both SQL and NoSQL databases, implementing data warehousing solutions, and managing data lakes.
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Data Architecture
Skilled in designing scalable data architectures, implementing data governance practices, and ensuring data security and compliance.
Tools & Technologies
Data Processing
- Apache Spark
- Apache Airflow
- Kafka
- Apache Beam
Databases & Storage
- PostgreSQL
- MongoDB
- Amazon S3
- Google BigQuery
Cloud Platforms
- AWS
- Google Cloud
- Azure
- Databricks
Related Projects
Certifications & Achievements
Professional Certifications
- AWS Certified Data Analytics
- Google Cloud Professional Data Engineer
- Apache Spark Developer Certification
Learning Resources
Books
- Designing Data-Intensive Applications
- The Data Warehouse Toolkit
- Stream Processing with Apache Spark
Online Courses
- Data Engineering with Google Cloud
- AWS Data Analytics Specialization
- Apache Spark and Scala Certification