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I will do big data projects using hadoop pyspark kafka hive scala python
Software Engineer with experience in Java, Big Data, SQL, and Spring Boot
I am a senior software engineer. I have almost 12 years of professional development experience. My expertise includes system integration using web services, microservices using Spring Cloud and Big da...
Sobre este Serviço
Big Data Analytics & Data Engineering Services
Are you looking for a reliable Big Data Engineer to process, analyze, and optimize large-scale datasets? With extensive experience in data engineering and backend development, I can help you build scalable, high-performance data solutions tailored to your business needs.
Services I Offer
- Big Data Analytics and Data Processing
- Apache Spark & PySpark Development
- Apache Kafka Real-Time Streaming Solutions
- Hadoop Ecosystem Implementation
- ETL/ELT Pipeline Development
- Data Ingestion and Transformation
- Batch and Stream Processing
- Data Warehousing Solutions
- Performance Tuning and Optimization
- Data Integration from Multiple Sources
Technologies & Tools
- Apache Spark / PySpark
- Apache Kafka
- Hadoop (HDFS, MapReduce, YARN)
- NoSQL Databases (MongoDB, Cassandra, DynamoDB, HBase)
- SQL Databases (PostgreSQL, MySQL, SQL Server)
- Python, Java, Scala
- AWS Data Services
- Docker & Kubernetes
Why Choose Me?
Scalable and efficient data solutions
Real-time and batch processing expertise
Clean, maintainable, and production-ready code
Performance optimization for large datasets
Timely delivery and professional communication
Whether you need a data pipeline, real-time
Perguntas frequentes
What Big Data technologies do you work with?
I work with Apache Spark, PySpark, Apache Kafka, Hadoop, HDFS, Hive, MongoDB, Cassandra, DynamoDB, PostgreSQL, MySQL, Java, Python, Docker, Kubernetes, and cloud-based data platforms.
Can you build real-time data streaming solutions?
Yes. I can design and implement real-time data processing pipelines using Apache Kafka and Spark Streaming to handle high-volume event streams efficiently.
Do you provide ETL and data pipeline development?
Yes. I develop scalable ETL/ELT pipelines for data ingestion, transformation, validation, and loading from multiple sources into data warehouses, data lakes, or analytics platforms.
Can you optimize existing Spark or Hadoop jobs?
Absolutely. I can analyze bottlenecks, optimize Spark transformations, improve partitioning strategies, reduce execution time, and enhance overall cluster performance.
Which NoSQL databases do you support?
I work with MongoDB, Cassandra, DynamoDB, HBase, Redis, and other NoSQL databases depending on your project requirements.
Can you help with data analytics and reporting?
Yes. I can process large datasets, perform data analysis, create aggregations, and prepare data for reporting and business intelligence solutions.
Do you work with cloud platforms?
Yes. I can assist with Big Data solutions on AWS and cloud-native architectures involving distributed storage and processing.
What information do you need before starting a project?
Please provide: Project requirements Data sources and formats Expected data volume Existing architecture (if any) Performance or scalability requirements Desired output or business goals
Why should I choose your service?
I have extensive software engineering experience and expertise in distributed systems, real-time data processing, backend development, and scalable Big Data architectures. I focus on delivering reliable, maintainable, and high-performance solutions.
