I am a Data Engineer with over 3 years of experience specializing in building scalable ETL pipelines, automating data workflows, and deploying cloud-native analytics on platforms like GCP and AWS. I’m proficient in Python, SQL, Airflow, Spark, and BigQuery, and I have hands-on experience with MLOps, FAISS, and NLP models. My work focuses on delivering AI-driven insights, streamlining dashboards, and integrating APIs in Agile environments.
I enjoy collaborating with cross-functional teams and business stakeholders to identify pain points and prioritize automation use cases. My projects include building property analytics platforms using computer vision and generative AI, improving data accessibility through natural language querying, and deploying scalable applications via Streamlit and FastAPI. I am always keen on learning and currently expanding my big data capabilities with Hadoop and Spark.
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