Sandesh Sonawane — Senior Software Engineer
⏺I’m a passionate Big Data Engineer, driven by the challenge of designing and optimizing data processing pipelines that fuel innovation and operational efficiency. My journey in the world of Big Data began at Barclays, where I played a pivotal role in the FinCrime Technology sector, implementing cutting-edge data tokenization techniques that significantly enhanced data security and compliance. My work on optimizing Spark applications led to substantial improvements, including a 20% boost in efficiency and a 40% reduction in processing time affected Millions of Data. ⏺But beyond the technical achievements, I believe that the heart of engineering lies in collaboration, mentorship, and continuous learning. I’m passionate about sharing knowledge, whether it’s guiding junior engineers or brainstorming with peers on the latest challenges. My curiosity keeps me exploring new technologies, from cloud computing on AWS to innovative data serialization formats, always seeking better, more efficient solutions. ⏺When I’m not delving into data or optimizing workflows, you might find me exploring new ideas in tech, mentoring upcoming talent, or simply enjoying a good book on the latest advancements in our field. I’m a firm believer that technology can make the world a better place, and I’m committed to using my skills to contribute to meaningful projects that have a positive impact. ⏺Outside of work, I enjoy connecting with others who share my passion for technology and innovation. I’m also an advocate for lifelong learning and believe in balancing work with other pursuits that feed the soul—whether it’s volunteering, spending time outdoors, or just having a thoughtful conversation over coffee. ⏺Let’s connect if you’re looking for a like-minded professional who values both the technical and the human side of engineering. I’m always eager to learn, share, and grow together. 🚀Expertise: Spark , Scala , Python , Play, Akka, Hive , Hadoop , PySpark , DSA , Sqoop , Airflow , AWS , Spark Streaming , MapReduce , etc.
Stackforce AI infers this person is a Big Data Engineer with a strong focus on Fintech and data security.
Location: Hyderabad, Telangana, India
Experience: 3 yrs 7 mos
Skills
- Big Data Engineering
- Spark
Career Highlights
- Implemented innovative data tokenization techniques for enhanced security.
- Achieved 20% efficiency boost and 40% time reduction in data processing.
- Passionate mentor and advocate for continuous learning in tech.
Work Experience
Apple
Senior Software Engineer (1 yr 4 mos)
Barclays
Big Data Engineer (2 yrs 3 mos)
Education
Bachelor of Engineering - BE at Pune Institute of Computer Technology