Passionate about leveraging cutting-edge technologies to drive impactful data-driven solutions, I bring a robust skill set in cloud computing, data analytics, and machine learning to the table. With extensive experience across diverse industries including Retail, Healthcare/Pharma, Tourism, Higher Education, CRM (Salesforce), and Aviation, I’ve honed my abilities to craft tailored data solutions that empower organizations.
Skills:
– Cloud Technologies: Proficient in AWS and Azure Cloud platforms, with a focus on architecting robust, scalable solutions.
– Data Engineering: Expertise in SPARK, Python, R, SQL, and adept at working with Big Data tools like Databricks, Snowflake , AWS GLUE, EMR, KAFKA, Airflow, Redshift, Datafactory etc.
– Machine Learning and AI: Well-versed in ML algorithms, including PCA, NLTK, K-means clustering, GBM, multi-linear regression, Random Forest, and Logistic regression.
– Generative AI and Language Models: Experienced in leveraging Large Language Models and Generative AI techniques to create innovative solutions.
– Data Platforms: Skilled in Snowflake, Databricks, and MLFlow for efficient data management and analytics.
– DevOps and Version Control: Proficient in MLOps, DevOps practices, and proficient in GIT and CI/CD pipelines.
Professional Experience:
I specialize in architecting end-to-end Data Analytics Platforms on AWS and Azure Cloud, facilitating seamless data ingestion, transformation, and loading into analytical stores. My expertise extends to data modeling, profiling, operational data store (ODS), and config database design. Additionally, I have a proven track record in deploying machine learning models and implementing end-to-end Data Science production solution for multiple projects.
Certifications:
– Certified AWS Big Data Specialty
– Certified AWS Solution Architect
– Certified Snowflake SnowPro Core
– Certified Microsoft Azure AZ900
– Certified Databricks Data Engineer
I thrive in Agile development environments, utilizing its framework to drive collaborative and efficient project execution.
Let’s connect and explore opportunities to collaborate on data-driven initiatives that can propel businesses forward.