About me
I am a Data Engineer with over 5 years of experience in building scalable, high-performance data pipelines for both batch and real-time processing. My expertise includes cloud platforms (AWS, GCP, Azure), data warehousing (Snowflake, BigQuery), and streamlining ETL workflows using tools like Apache Spark, Kafka, and Airflow.
I am skilled in modern data architecture, implementing robust data models, and ensuring data quality through automated testing and monitoring. My experience spans multiple industries, delivering actionable insights and improving business operations through advanced data engineering practices.
What i'm doing
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Data Pipeline Development
Designing and building robust, scalable ETL and ELT pipelines for both batch and real-time processing using Spark, Kafka, Airflow, and cloud platforms (AWS, Azure, GCP).
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Cloud Engineering
Implementing serverless architectures and optimized data workflows leveraging AWS Glue, Azure Data Factory, and Google Dataflow, ensuring scalability and cost efficiency.
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Data Warehousing & Analytics
Creating and optimizing analytics-ready data warehouses using Snowflake, BigQuery, dbt, and Redshift, facilitating data-driven decision-making.
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Data Quality & Observability
Ensuring high data quality through automated testing, monitoring, and data governance practices using Great Expectations, Prometheus, and Grafana.
Soft Skills
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Fast Learner
I have the ability to quickly acquire new knowledge and adapt to changing technological environments.
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Problem Solving
I am creative and efficient in identifying and solving technical problems.
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Teamwork
I collaborate effectively in multidisciplinary projects and communicate clearly with team members.
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Effective Communication
I have the skill to convey ideas clearly and concisely, both technically and non-technically.
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