Sahil Gogna — Co-Founder
Data Engineer with a passion for learning and a track record of pushing boundaries to tackle challenges head-on. With a background in the Canadian financial and retail sectors, I bring extensive expertise in Data Engineering, ETL/ELT processes, and cloud-based technologies. In my role as a Data Engineer at RBC, Canada's top bank, I have demonstrated my ability to conduct complex data analysis, develop and deploy applications, and collaborate effectively in team environments. With hands-on experience in data engineering technologies such as Spark, Hadoop, Kafka, and Airflow, as well as data warehousing solutions like Snowflake, I have a comprehensive understanding of the tools and platforms driving modern data ecosystems. Moreover, I am actively involved in projects leveraging cutting-edge technologies such as Large Language Models (LLMs) from OpenAI, prompt engineering, and Vector DB. These projects not only enhance my technical proficiency but also enable me to stay at the forefront of innovation in the field of data engineering. With a keen eye for identifying opportunities for process improvement, I excel in automating manual processes, optimizing data delivery, and redesigning infrastructure for greater scalability. In my collaborative team environment, we follow agile methodologies, allowing for flexibility and adaptability in project execution. I am well-versed in data modeling, and designing data pipeline solutions that adhere to the principles of scalability and reliability. This ensures that our data infrastructure can handle growing demands while maintaining high performance and uptime. I am committed to delivering high-quality solutions and resolving production issues, ensuring seamless operations and driving business success. Working closely with stakeholders across various teams, including Product and Design, I address data-related technical issues and support their data infrastructure needs.
Stackforce AI infers this person is a Fintech Data Engineer with strong expertise in data integration and cloud-based solutions.
Location: Greater Toronto Area, Canada
Experience: 7 yrs 9 mos
Skills
- Machine Learning
- Backend Development
- Data Engineering
- Data Pipeline Development
- Data Integration
- Etl Development
- Full Stack Development
- Microservices
Career Highlights
- Expert in data engineering and cloud technologies.
- Led impactful data projects generating significant revenue.
- Strong background in agile methodologies and team collaboration.
Work Experience
RBC Borealis
Machine Learning Software Engineer (1 yr 2 mos)
RBC
Senior Data Engineer (2 yrs 7 mos)
ALDO Group
Data Integrations Developer (1 yr 4 mos)
Montreal College of Information Technology
Teaching Assistant - Tableau (7 mos)
Nagarro
Junior Associate (1 yr)
Trainee (6 mos)
UnsaidTalks
Founder (1 yr 8 mos)
Pocketin
Tech Intern (1 mo)
Education
Big Data at Montreal College of Information Technology
French at Centre Saint Paul
Post graduation certification at Collège LaSalle, Montréal
Bachelor's degree at Thapar Institute of Engineering & Technology
at Malavi Devi Dayanand Model School Nakodar
at SD Model School Jalandhar cantt
