Abhijit Debnath — Director of Engineering

Dedicated Data/AI Architect/ Technical Engineering Lead in Data Engineering and AI engineering Pipeline with more than 14 years of experience crafting robust data solutions. AWS Developer Certified Currently working in sanofi as Data Solution Lead. With more than 8 years of experience as a Data Solution Architect role. Experienced with Designing Data and AI driven data pipeline. Very proficient in both AWS,Snowflake,Oracle, Postgres, DynamoDb, redshift, Cassandra, Pinecone, kendra etc. Proficient in data modelling, ETL Process and database management. Adept at translating business requirements into scalable data architectures. Proven track record in optimizing data storage and retrieval for enhanced business intelligence. Experiences in conducting an evaluation of the computer system architecture with an emphasis on the design. Proficient in analyzing the technology environment and the business requirements. Experienced in defining a collaboration framework and a procedure to ensure solution delivery. Experienced in selecting the project technology stack and ensuring compliance with non-functional requirements. Experienced in providing technical leadership, recommendations, and roadmaps for proposed solutions. Proficient in developing proof-of-concept projects and validating solutions designs. Proficient in performing design, debug, and performance analysis on solutions. Good knowledge and working experience in AWS Cloud (EC2, Lamda function, cloud watch, RDS, Redshift, CI-CD using AWS, IAM, DMS, RDS, Cloud formation template, SQS, Load Balancer, DynamoDB,Redshift, Redis). Good experience on Snowflake both development and architecting. Extensive work experience in SQL and PL/SQL in writing stored procedures, functions, packages and triggers, Unix, Shell Scripting and database performance tuning. Good experience with the ETL process. An effective communicator with excellent relationship building & interpersonal skills. Strong analytical, problem solving & organizational abilities. Possess a flexible & detail oriented attitude. Having experience of migrating data from RDBMS to Snowflake. Good experience with Data Profiling, Data mining and Data Governance, GDPR and Data strategy. Good experience in big data processing in spark api in both aws EMR and azure Databricks. Experienced in managing a team of 25+ people of Engineering. And, collaborating with other departments and stakeholders to ensure the engineering team's work aligns with the overall goals and objectives of the organization. Experience in Python scripting.

Stackforce AI infers this person is a Data Architect specializing in AWS and Snowflake solutions for enterprise data management.

Location: Toronto, Ontario, Canada

Experience: 11 yrs 11 mos