Sravani Vaddi

Data Engineer

Addateegala, Andhra Pradesh, India2 yrs 1 mo experience

Highly Stable

Key Highlights

Fast-tracked promotion for impactful data automation solutions.
Reduced manual effort by 40% through process automation.
Improved data accuracy to over 99% with validation logic.

Stackforce AI infers this person is a Data Pipeline Developer specializing in Fintech data solutions with a strong focus on ETL and reconciliation.

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Skills

Core Skills

Etl DevelopmentData ReconciliationData Visualization

Other Skills

ETLData ValidationSQLPower BIAmazon QuickSightData Quality AssuranceException HandlingExcelCSVPDF ParsingEDIPythonDjangoAutomation ScriptingGroovy

About

I’m a Data Pipeline Developer-II specializing in designing and developing ETL pipelines and data reconciliation frameworks for Invoice-to-Cash (I2C) and Order-to-Cash (O2C) processes. My focus is on turning complex, unstructured data into reliable, analysis-ready insights that drive business performance. 💡 What I Do: Design and build ETL pipelines that extract, transform, and load data from diverse sources — Excel, CSV, PDF, and EDI. Develop robust data reconciliation solutions ensuring accuracy, completeness, and transparency across financial systems. Implement tolerance rules, mapping logic, and data validation checks to enhance reconciliation accuracy (>99%). Build interactive dashboards in Power BI and Amazon QuickSight for reconciliation monitoring, KPI reporting, and real-time insights. Collaborate closely with business teams to streamline workflows and resolve mismatches efficiently. 🏆 Key Achievements: Fast-tracked promotion from Graduate Engineer Trainee → Data Pipeline Developer-II within one year for delivering impactful data automation solutions. Reduced manual effort by 40% through reconciliation process automation. Improved data accuracy to 99%+ with enhanced validation and matching logic. Created real-time dashboards that significantly improved decision-making speed and accuracy. 🧠 Core Skills: ETL Development | Data Reconciliation | Data Validation | SQL | Power BI | Amazon QuickSight | Data Quality Assurance | Exception Handling | Excel | CSV | PDF Parsing | EDI 💻 Technical Knowledge: Python | Django | HTML | CSS | JavaScript | Automation Scripting | Web Application Development

Experience

2 yrs 1 mo

Total Experience

2 yrs 1 mo

Average Tenure

2 yrs 1 mo

Current Experience

Taxilla

Senior Data Pipeline Developer

Apr 2024 – Present · 2 yrs 1 mo · Hyderabad

I am a Senior Data Pipeline Developer with strong experience in building ETL pipelines and data reconciliation systems for Invoice to Cash and Order to Cash processes. I transform raw and unstructured data from Excel CSV PDF and EDI into accurate and ready to use insights that support business goals. I design efficient ETL workflows, apply mapping logic, and use validation checks to maintain more than 99 percent data accuracy. I also create dashboards in Power BI and Amazon QuickSight to monitor reconciliation results and key metrics in real time. My work helps reduce manual effort, improve data quality, and speed up decision making. I earned a quick promotion from Graduate Engineer Trainee to Developer II by delivering automation solutions that increased efficiency by 40 percent. My key skills include ETL development, data quality checks, SQL, Power BI, QuickSight, Python, and automation scripting for business process improvement.

ETLData ReconciliationData ValidationSQLPower BIAmazon QuickSight+10