Surya Teja Gonugunta

I am on the lookout for new data engineer roles. I have around 11 years of experience in IT field. My expertise lies in AWS, AZURE, Hadoop, MapReduce, Python, Pyspark,, Scala, Snowflake Modeling, Star Scheme Modeling.

With over 11 years of experience as a Big Data Engineer, I bring a wealth of expertise in designing and implementing robust data-intensive applications leveraging the full Hadoop ecosystem. My deep technical knowledge spans the architecture of distributed systems, parallel processing frameworks like MapReduce, and optimization techniques for big data workloads in cloud environments.

I specialize in data engineering solutions encompassing the full lifecycle - from high-throughput ingestion using technologies like Kafka and Flume, to transformation and processing with Spark, Hive, and Python/Scala, to building scalable data warehouses, marts, and visualizations. My hands-on experience covers every aspect of the data pipeline across batch and real-time use cases.

Beyond the core engineering skills, I offer a unique blend of analytical capabilities honed through machine learning implementations and statistical modeling initiatives. This analytical mindset allows me to not just build data platforms, but extract valuable insights that drive business impact.

With a passion for automating and optimizing data flows, I leverage DevOps tools and processes to establish robust CI/CD pipelines, containerization, and infrastructure-as-code practices. I am well-versed in cloud technologies like AWS and Azure for deploying and managing enterprise-scale data solutions.

Above all, I am a technical leader committed to architecting elegant and reliable data systems aligned with organizational needs. I look forward to discussing how I can contribute my diverse expertise to your team's data engineering initiatives.

I hold a Bachelor's degree in Electronics and Communications from Sathyabama University in 2011.