Partha Sarathi C.

Data Engineer/Scientist

Data Engineer with 1+ years of experience and expertise in Large Language Models (LLMs) Adept in building and maintaining data pipelines, transforming data into actionable insights, and leveraging LLMs for enhanced data analysis and modeling. Core Strengths: - Ability to design, develop, and implement scalable data pipelines for large-scale data processing. - Expertise in utilizing cloud platforms like AWS and GCP for data storage, management, and analysis. - Proficient in SQL, Python for data manipulation, analysis, and visualization. - In-depth knowledge of LLMs, their applications, and their integration into organizations. - Experience in collaborating with data scientists and business stakeholders. Key Achievements: - Developed a data pipeline that reduced data processing time by 15%, significantly improving operational efficiency. - Implemented machine learning models using LLMs, leading to a 7% increase in predictive accuracy. - Designed and executed data-driven strategies that contributed to a 7% boost in revenue. - Passionate about leveraging data and LLMs to solve complex business problems and drive organizations success. - Experience with cloud-based data platforms like AWS, GCP, or Azure, and knowledge of the services and tools provided by these platforms (e.g., S3, EMR, Dataflow, BigQuery, etc.) - Familiarity with data modeling, data warehousing, and ETL (extract, transform, load) processes, and the ability to design and implement data pipelines that are scalable, fault-tolerant, and efficient - Strong communication and collaboration skills, as data engineers often work with cross-functional teams and stakeholders to understand requirements and deliver solutions that meet business needs Ready to work for your data engineering and LLM-related projects to unlock the power of data and gain a competitive edge.

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  • Snowflake
  • Apache Airflow
  • Databricks Platform
  • MySQL
  • PySpark
  • AWS Glue