👋 About Me
- I’m a Data Engineer with 7 years of experience specializing in building scalable data platforms, data pipelines, and data analytics solutions.
- Passionate about open-source tools, cloud-native architectures, and data-driven decision-making.
📄 Technical Expertise
- Technologies: Apache Spark, PySpark, Kafka, Airflow, dbt Cloud, Azure Databricks, AWS Glue.
- Cloud Platforms: AWS (S3, Redshift, Glue, Lambda, SNS, MWAA), Azure (Databricks, Data Factory, ADLS2).
- Databases: Snowflake, BigQuery, PostgreSQL, MySQL, MongoDB.
- Programming: Python, SQL, Java, PySpark, SparkSQL, Shell Scripting.
- Data Practices: ETL/ELT, Data Warehousing, Batch & Stream Processing, Data Modeling.
👀 Interests
- Exploring cutting-edge data engineering technologies.
- Learning about Kafka and open-source analytical tools.
- Contributing to data engineering and data analytics projects.
💬 Ask Me About
- Data Engineering, Business Analytics, Big Data Solutions, or anything Data!
🌱 What I'm Currently Learning
- Advanced Kafka Data Streaming.
- Integrating AI/ML with data platforms.
- Generative AI and MLOps
💞️ Let's Collaborate On
- Data Engineering and Analytics projects that solve real-world problems.
📫 Reach Me
- LinkedIn: linkedin.com/in/zvijayakumar
- GitHub: github.com/zvijayakumar
- Email: [email protected]
✨ Fun Fact: I’m always up for a chat at data conferences, especially in Europe!