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Rashmi R
@rashmi_raj_05
Data Engineer
India
Inglese, Hindi
Chi sono
I am a Data Engineer with 3+ years of experience designing scalable ETL pipelines, API-driven data integrations, and data platforms using Python, SQL, and Apache Airflow. I have a proven track record of optimizing production pipelines supporting 50+ client implementations and processing millions of daily events.
Competenze
Rashmi R
offline •
Tempo di risposta medio: 1 ora
Consulta i miei servizi
Consulenza Data engineering
I will fix your broken python etl pipeline or rest API script
Portfolio
Esperienza lavorativa
Data Engineer
EasyInsights
Nov 2023 - Present • 2 yrs 9 mos
• Led a team of 2 engineers to design, develop, and scale data engineering solutions powering analytics and attribution workflows for 50+ e-commerce and lead-generation clients. • Architected a multi-touch attribution platform processing 2M+ daily events by building end-to-end pipelines for data ingestion, validation, enrichment, session tracking, and attribution modeling, achieving 90–95% customer journey coverage. • Built and optimized API-driven data pipelines integrating CRM, e-commerce, and marketing platforms including Shopify, Salesforce, HubSpot, Zoho CRM, Meta Ads, Google Ads, LinkedIn, and GA4 for customer and campaign analytics. • Developed reusable Python-based ETL frameworks for data extraction, transformation, deduplication, reconciliation, and quality validation, improving pipeline reliability across multiple client implementations. • Optimized PostgreSQL schema design, indexing strategies, and query execution plans, reducing attribution query latency by 70–85% while improving scalability for high-volume analytical workloads. • Automated data workflows using Apache Airflow with monitoring, scheduling, and failure handling, integrating REST APIs and S3-compatible object storage for scalable data processing.
Senior Executive - Analytics
Faircent • Full time
Jul 2023 - Oct 2023 • 3 mos
• Developed Power BI dashboards on the lender-side for loan and borrower analytics. • Built SQL-based validation and QA pipelines that reduce reporting errors by 30%.
