<Resume>
Education
Northeastern University    Boston, MA
Master of Science in Information Systems (Computer Software Engineering)    May 2024
SRM Institute of Science and Technology    Kattankulathur, India
Bachelor of Technology in Computer Science and Engineering    May 2018
Experience
Atos Global IT Solutions and Services    Chennai, India
Data Solutions Engineer - Associate Consultant (GCM 2)    Aug 2020 – Jul 2022
•    Led the migration and integration of 1TB legacy data into Pimcore, achieving a data loss rate of less than 1% and modernizing data management for Unify (formerly Siemens Enterprise Communications).
•    Developed and automated ETL pipelines using Python, Airflow, and Spark to enable real-time synchronization of product information (over 60k SKUs) between Akeneo and Nuxeo data stores.
•    Optimized data extraction from Nuxeo APIs using Python and advanced SQL, slashing manual export time by 80%.
•    Designed and deployed RESTful APIs integrating Nuxeo with 6+ marketing platforms to facilitate seamless content distribution and maintain uniform data integrity across channels.
•    Received the 'Atos Achiever's Club Agile Values Award 2021' for delivering innovative solutions, enhancing team performance, and meeting project deadlines.
Junior Data Engineer - Associate Consultant       Dec 2018 – Jul 2020
•    Architected a data model in Pimcore using MySQL to manage complex product catalogs, reducing data redundancy by 30% and improving content management efficiency.
•    Optimized SQL query performance through indexing and query tuning, achieving a 25% reduction in fetch time.
•    Conducted in-depth exploratory data analysis using Python and Pandas, uncovering actionable insights that led to a 15% increase in sales revenue and informed product strategy decisions.
•    Implemented a robust validation framework using Apache NiFi and Java, reducing data inconsistencies by 95%.
•    Built interactive Power BI dashboards integrating multiple data sources to visualize product engagement metrics, driving a 12% increase in user engagement within one quarter.
Projects
SafeFeed - Context-Aware Content Moderation    Apr 2024
•    Developed a real-time moderation pipeline with Mage, Snowflake, DBT and diffusion models for image captioning.
•    Orchestrated AI Agents using OpenAI, Pinecone, and RAG, automating policy-based decisions for content removal.
CineScope - Data Warehouse for Film Performance Analytics     Dec 2023
•    Designed a Redshift-based star schema for 25+ GB of film industry data, enabling multi-dimensional analysis.
•    Engineered ETL workflows in Talend and Alteryx, integrating data from diverse sources (MySQL, TSV, CSV, JSON).
•    Created reports and dashboards using Power BI and Tableau to visualize key movie performance indicators.
VaniVerse - Conversational AI for Meeting Insights     Mar 2023
•    Utilized Whisper and GPT-3.5 API to transcribe audio, extract insights from up to 5 hours of meeting recordings.
•    Automated workflow using Airflow, integrated CI/CD with GitHub Actions, deployed on AWS ECS for scalability.
GeoNOAA - Interactive Geospatial Data Exploration Platform     Feb 2023
•    Built data exploration/retrieval tool for 100+ TB of NOAA datasets using AWS S3, FastAPI, Docker and Streamlit.
•    Created Airflow DAGs for daily metadata scraping and updates, with data quality checks using Great Expectations.
•    Implemented secure API endpoints with JWT, adding access tiers and usage monitoring Grafana dashboards.
Technical Skills
Programming Languages: Python, SQL (MySQL, PostgreSQL, SQL Server, MongoDB), R, Java, Bash
Data Warehousing & ETL: Snowflake, Redshift, AWS Glue, Azure Data Factory, Talend, Mage AI, Airflow, DBT
Cloud & Big Data Technologies: AWS (S3, EC2, Lambda), Azure Blob, Hadoop, Hive, Kafka, PySpark, Pinecone
Data Analytics & Visualization: Pandas, NumPy, Scikit-learn, NLTK, PyTorch, Matplotlib, Alteryx, Tableau, Power BI
DevOps & Other Tools: Docker, Kubernetes, Jenkins, Git, Jira, ER/Studio, GraphQL, LangChain, Terraform
</Resume>

Can you improve my resume, making it even more effective for data engineering roles as I feel I don't get many call backs after applying with this resume. Maintain the same structure and word count for the bullet points, and keep my work expereince and project relevant to what I have actually done but update the points to be more effective such a way it attracts the recruiters and hiring managers.