
Data Engineer
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
LLM-data-harmonizer
September 1, 2025 – September 2, 2025
An innovative solution that uses Large Language Models (LLMs) to automatically detect files, infer schemas, generate vector embeddings, and match schemas. The platform outputs dbt SQL models enriched with metadata, stores them in a data warehouse, and makes them queryable via BI tools or a chat interface
View ProjectJiraPilot
April 21, 2025 – April 23, 2025
JiraPilot is an automated workflow that turns Jira tickets into boilerplate code using LLM, triggered by jira automation and seeded with real repo context
View ProjectFakerAPI-ELT-pipeline
March 13, 2024 – March 13, 2024
Automated ELT data pipeline with Apache Airflow, Snowflake, and Docker. Extract product data from a Faker API, stage it in Google Cloud Storage (GCS), and transform it using Snowflake's stored procedures. Efficient, scalable, and cloud-ready
View Projectsnowflake-bigquery-data-migration
February 24, 2024 – February 26, 2024
Leveraged GitHub Actions to automate the deployment of a GCP pipeline for Snowflake to BigQuery data migration. Utilized 'sensex-data-analysis' as the data source and Snowflake storage integration feature to load data to GCS. Implemented workflow management and transformation using Composer (Airflow) and Dataflow
View Projectsensex-data-analysis
February 19, 2024 – February 26, 2024
Leveraged GitHub Actions for streamlined data extraction from Yahoo finance API, Snowflake and SnowSQL for extraction, storage, and transformation for Sensex Data
View ProjectWeatherForecastPipeline-Snowflake
April 1, 2023 – April 1, 2023
Weather Forecast Pipeline using snowflake and AWS (Lambda / S3 / Cloudwatch)
View ProjectCultural Fit Analysis
The candidate's projects are heavily focused on data engineering, ELT pipelines, and LLM integrations, which do not directly align with a 'Frontend Developer' target role. This indicates a significant mismatch in technical focus for the stated target role. The project diversity is strong within the data domain but lacks frontend-specific technologies or applications.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. No psychometric test results or interview feedback provided.