About Me
Enterprise Data Engineer (Analytics)
SQL Pipelines • Data Quality • Analytics Enablement
I am a Data Engineer with 4+ years of experience working across operational analytics, data engineering, and enterprise reporting systems. My work spans building structured SQL pipelines, validating data quality, documenting transformations, and enabling analytics teams to confidently use production data for decision-making.
I have supported high-volume, SLA-driven environments at companies like Charles Schwab, Citi, Amazon, and Magna Infotech, where data accuracy, consistency, and traceability directly impacted business outcomes.
Systems I've Built
Production data systems supporting analytics and operations
Enterprise Analytics Reporting Pipeline
- Designed and supported SQL-based pipelines transforming raw operational data into analytics-ready datasets.
- Implemented validation checks for schema consistency, KPI accuracy, and downstream reliability.
- Enabled self-service reporting for analytics and business teams.
Data Quality & Validation Framework
- Performed root cause analysis on data inconsistencies across source and reporting layers.
- Built reconciliation queries to identify defects, missing records, and KPI mismatches.
- Improved reporting trust through standardized metric definitions.
Operational KPI & SLA Metrics Layer
- Developed structured KPI datasets tracking SLA adherence, performance trends, and defect rates.
- Documented metric logic and transformation rules for analytics adoption.
- Partnered with stakeholders to translate business questions into reliable datasets.
Professional Experience
Data Engineering • Analytics • Operations
Education
Master's in Data Science
2023 – 2025
DePaul University, Chicago
B.Sc in Mathematics, Statistics & Computer Science
2018 – 2021
Aditya Degree College
Experience
Data Engineer
Aug 2025 – Present
Charles Schwab
- Designed and supported SQL-based pipelines and reporting datasets used across enterprise teams.
- Performed data validation, defect analysis, and root cause investigations.
- Documented transformation logic and metric definitions to improve data trust.
Data Engineer
Jan 2025 – Apr 2025
Citi
- Supported ETL workflows ingesting structured financial datasets.
- Wrote SQL for reconciliation, validation, and transformation logic.
- Assisted with pipeline troubleshooting and lineage documentation.
Seller Partner Support
Apr 2022 – Mar 2023
Amazon
- Analyzed seller performance, SLA adherence, and defect trends.
- Built SQL-based reports and dashboards for operational stakeholders.
- Ensured consistent KPI definitions and reporting accuracy.
Data Engineer
Aug 2020 – Mar 2022
Magna Infotech
- Built and maintained SQL pipelines supporting business analytics.
- Performed data validation, reconciliation, and defect analysis.
- Delivered analytics-ready datasets aligned with operational needs.
Contact
Open to data engineering and analytics opportunities
saikavyusha@gmail.com
Phone
+1 773-858-9487