Pranav Nayak — Data Engineer

Detail-oriented data engineer with a Master's in Information Systems, passionate about building scalable data infrastructures that drive real business impact. With extensive experience in end-to-end pipeline development and AI integration, I excel at transforming complex data challenges into streamlined solutions that empower organizations to make data-driven decisions. At Amazon, I'm seeking opportunities to leverage my expertise in creating robust, high-performance systems that directly impact operational efficiency and unlock strategic insights. What I Bring: End-to-end pipeline expertise using Apache Spark, Kafka, PySpark, Snowflake, and cloud platforms (AWS, GCP) Real-time streaming solutions that handle massive data volumes with near-zero latency AI/ML integration, including multimodal frameworks, vector databases, and semantic search systems Cross-functional collaboration translating complex business requirements into scalable technical solutions My journey spans building unified datasets at Amazon, processing 800 M+ events daily, developing APIs for financial data integration, and creating scalable and automated data infrastructure. I excel at dimensional modeling, data warehousing, and SQL optimization with particular strength in complex data transformations. Recent Focus: Generative AI infrastructure, MLOps pipelines, and semantic search systems that bridge the gap between raw data and actionable intelligence. My technical expertise includes Python, SQL, PySpark, Apache Spark, Kafka, AWS (S3, EMR, Redshift, Glue), Snowflake, PostgreSQL, Elasticsearch, Docker, and Kubernetes. I have a strong foundation in data engineering, data warehouse, and cloud-based architectures, enabling me to tackle complex data challenges and deliver robust, scalable solutions. I thrive in fast-paced collaborative environments, consistently demonstrating strong analytical and problem-solving abilities, effective communication and translation of business requirements, and leadership skills. My goal is to leverage my expertise to contribute to cutting-edge data solutions that solve real-world problems and create measurable business value. I'm driven by continuous learning and adaptability, thriving on challenging projects that build scalable data pipelines and optimize cloud-based data architectures. My goal is to bring technical expertise and creative problem-solving to innovative teams. I'm eager to connect with professionals who value growth and innovation. If you're seeking a proactive engineer committed to evolving with technology, let's connect!

Stackforce AI infers this person is a Data Engineer specializing in AI and cloud-based data solutions.

Location: Dallas, Texas, United States

Experience: 4 yrs 9 mos