I’m a results-driven Data Engineer with 5+ years of experience architecting end-to-end data pipelines, analytics dashboards, and web applications that empower data-driven decision-making.
Key Strengths
• Data Integration & ETL
Building robust pipelines to extract, transform, and load data from APIs (Facebook, Google, TikTok, Salesforce, Jira, Sheets, Forms), databases, and streaming sources using Python and Node.js
• Cloud & Orchestration
Designing scalable solutions on GCP (BigQuery, Cloud Composer, Cloud Run, Cloud SQL, Firebase/Firestore) and AWS (Lambda, API Gateway, SQS, SNS, SES), with workflow automation via Apache Airflow and GitHub Actions
• Analytics & Reporting
Developing interactive dashboards and reports in Data Studio, Google Sheets, or custom React/Next.js apps to surface key insights and KPIs
• Full-Stack Web Development
Building responsive, performant web interfaces and RESTful APIs using React, Next.js, Express.js, and Node.js
Core Skills
• Languages & Frameworks
Python · SQL · JavaScript/TypeScript · Node.js · React · Next.js · Express
• APIs & Integrations
Facebook Marketing · Google Ads & Analytics · DV360 · TikTok · Salesforce · Jira · Google Sheets & Forms
• Cloud Platforms
– GCP: BigQuery · Cloud Composer · Cloud Run · Cloud SQL · Cloud Storage · Firebase/Firestore · Cloud Functions
– AWS: Lambda · API Gateway · CloudFormation · SQS · SNS · SES
• Automation & CI/CD
Apache Airflow · GitHub Actions · Bitbucket Pipelines · Google Apps Script
• Data Visualization
Looker/Data Studio · Custom React Dashboards · Google Sheets scripting
Professional Approach
I partner closely with product, marketing, and engineering teams to translate business questions into scalable data solutions. I deliver clean, maintainable code and actionable insights tailored to your goals.
Let’s Connect
If you need to streamline data workflows, implement real-time analytics, or build a modern web interface, I’m here to help you turn data into your competitive advantage.
Skills
Language
Work Experience
Education
Qualifications
Industry Experience
1- Goal:
goal was to have dashboard which would have data from different sources like google ads, facebook ads and google sheets and show different KPIs like Margins, Revenue, Clicks, Impressions etc w.r.t Date.
2- Approach:
Used Python scripts to get the data from soures using their APIs and load it to Google BigQuery and scheduled the scripts using Github Actions. then Created Dashboard Using Nextjs and reCharts library and linked bigquery data to it.
3- Summary:
Saved multiple hours daily work of Campaign managers for manual sheet creations of data by automating the whole process and one place for Dashboards instead of different sheets.
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