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Data Analyst with 1+ years in ETL Pipelines, SQL & Cloud Data Tools
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Detail-oriented and analytically driven Computer Science graduate seeking a Data Analyst role at Polluxa. Equipped with strong skills in SQL, Python, data visualization, and cloud-based data tools, with hands-on experience building ETL pipelines and delivering insights from large-scale datasets. Passionate about identifying trends, creating impactful reports, and supporting data-driven decision-making across business teams.
Karnataka University
Bachelor of Computer Applications (BCA) · Computer Applications
N/A – June 30, 2023
University of Mysore
Master of Computer Applications (MCA) · Computer Applications
N/A – June 30, 2026
ThoughtFocus
Data Analyst Intern
January 1, 2025 – July 31, 2025
Bengaluru, Karnataka, India
Genpact India Pvt Ltd
Apprenticeship Trainee
April 1, 2023 – December 31, 2023
Bengaluru, Karnataka, India
AWS Data Engineering & Analytics Pipeline
June 23, 2026 – Present
Architected a serverless ETL pipeline on AWS using S3, Glue, Lambda, Redshift, and Athena to ingest, clean, transform, and load high-volume business datasets for analytics use cases. Performed data quality checks and transformation logic using PySpark and Spark SQL, ensuring accuracy and consistency of datasets before loading into the data warehouse. Optimized Spark SQL query execution plans, improving data processing throughput by 35% and reducing pipeline run times for time-sensitive reporting workflows. Delivered analytics-ready datasets that powered BI dashboards and executive reports, enabling faster identification of business trends and growth opportunities.
Business Insights Dashboard (SQL + Python)
June 23, 2026 – Present
Collected and cleaned raw business datasets using Pandas and NumPy, handling missing values, outliers, and inconsistencies to ensure data accuracy and reliability. Wrote complex SQL queries to extract, aggregate, and filter data across multiple relational tables, supporting trend analysis and KPI tracking for business reporting. Visualized key metrics and patterns using Matplotlib and Seaborn, creating clear, presentation-ready charts that communicated insights to non-technical stakeholders. Identified growth opportunities and anomalies in sales and operational data, providing data-driven recommendations to support business decision-making.
Java Spring Boot Microservices Platform
June 23, 2026 – Present
Optimized MySQL database queries using Spring Data JPA, reducing data retrieval latency for high-frequency API calls and improving overall application performance. Monitored application health and data flow using AWS CloudWatch dashboards, tracking error rates, latency, and usage patterns for operational visibility.
RAG-Based AI Knowledge Assistant
June 23, 2026 – Present
Built a Retrieval-Augmented Generation (RAG) pipeline using LangChain and ChromaDB, enabling intelligent, context-aware querying over structured and unstructured datasets. Evaluated response quality using RAGAS metrics faithfulness, answer relevancy, and context recall ensuring reliable output accuracy over custom knowledge bases. Designed a FastAPI REST interface for the assistant, enabling easy integration with reporting and analytics workflows for data retrieval use cases.
Data Engineering Certification
Thought Academy
January 1, 2025 – Present
DevOps Certification
Thought Academy
January 1, 2025 – Present
AWS Certified Cloud Practitioner
Amazon Web Services
January 1, 2024 – January 1, 2027
Cultural Fit Analysis
The candidate's project diversity, ranging from AWS data engineering to RAG-based AI, shows a broad interest in data-related fields. Their objective explicitly targets a 'Data Analyst' role, aligning well with the target role. The breadth of technical skills (SQL, Python, AWS, Spark, data visualization) and certifications (AWS, Data Engineering, DevOps) suggests a proactive and adaptable individual. The mention of continuous learning further supports a good cultural fit for an evolving technical environment.
Soft Skills & Operational Fit
The candidate demonstrates effective communication skills through project descriptions and experience in producing reports and documentation for diverse audiences. Their involvement in Agile sprints and collaboration with cross-functional teams indicates a capacity for teamwork. The objective statement and 'Additional Information' section highlight a passion for continuous learning and problem-solving, which are positive indicators for operational fit.