Aayushi .

Data Engineer

Bengaluru, Karnataka, India6 yrs 3 mos experience

Most Likely To Switch

Key Highlights

4+ years of experience in data engineering.
Expertise in developing scalable data pipelines.
Proven track record in automating reporting solutions.

Stackforce AI infers this person is a Data Engineer with expertise in Fintech and E-commerce data solutions.

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Skills

Core Skills

Data EngineeringBusiness Intelligence (bi)Data AnalysisData Visualization

Other Skills

AlexaAlexa Skills Kit (ASK)Amazon AlexaAmazon RedshiftAmazon S3Amazon cradleBRDBig DataBusiness LogicBusiness RequirementsData CollectionData LineageDatabasesExpress.jsGoogle BigQuery

About

Aayushi is a Senior Data Engineer at PayPal, specializing in developing efficient data pipelines and insightful dashboard solutions. With expertise in Data Analytics, Data Warehousing, SQL, and Reporting, she delivers end-to-end data solutions. With 4+ years of hands-on experience, Aayushi has successfully implemented solutions using SQL, Informatica BDM, Dataiku DSS, Excel, and managed databases like GCP, Redshift, and Hive. She also excels in reporting platforms such as Tableau and Looker, and job scheduling using UC4.

Experience

6 yrs 3 mos

Total Experience

2 yrs 1 mo

Average Tenure

3 yrs 5 mos

Current Experience

Paypal

Data Engineer II

Jan 2023 – Present · 3 yrs 5 mos · Bengaluru, Karnataka, India

Automated dashboard solutions for various business needs, improving data accessibility and streamlining reporting processes.
Led initiatives to retire obsolete tools like R Shiny, optimizing data refresh cycles and reducing manual effort by 50%.
Developed scalable data pipelines and generated actionable metrics for Enterprise and SMB audiences using GCP, Tableau, and Looker.
Spearheaded a reporting consolidation project, leading a team of two to integrate 1000+ KPIs into a unified Tableau dashboard.
Actively engaged in end-to-end project execution, including requirement gathering, dashboard design, team onboarding, and data anomaly resolution.

Data CollectionBusiness LogicMicrosoft ExcelStakeholder EngagementBusiness Intelligence (BI)Test Planning+11

Amazon

Business Analyst

Apr 2022 – Jan 2023 · 9 mos · Hyderabad, Telangana, India

Worked in an Agile environment for the Fresh, Fast, Food Grocery operations team, building automated reporting solutions to enhance efficiency.
Designed data pipelines and dashboards using SQL, Amazon Cradle, Redshift, and Amazon Quicksight to track trends and identify anomalies.
Built historical data tables in Redshift using a cross-platform architecture, integrating flat file and S3 sources.
Created interactive dashboards to monitor queue status, leveraging dynamic calculations and enabling real-time ticket tracking.

Data CollectionBusiness LogicData VisualizationAmazon RedshiftStakeholder EngagementBusiness Intelligence (BI)+12

Zs

2 roles

Business Technology Analyst

Aug 2020 – Apr 2022 · 1 yr 8 mos

Designed ETL pipelines and dashboards for global market research data, leveraging Informatica BDM, Dataiku DSS, and Tableau.
Worked in a client-facing role, conducting requirement gathering and business alignment meetings to deliver data-driven insights.
Led end-to-end pipeline development, handling data extraction, transformation, dashboarding, and testing.
Used cloud platforms like Redshift, Snowflake, and Hive to build scalable data solutions.

Data CollectionBusiness LogicData VisualizationAmazon RedshiftStakeholder EngagementTest Planning+13

Business Technology Analyst Intern

Feb 2020 – Jul 2020 · 5 mos

Created automated dashboards to streamline the weekly quality control process using Tableau, visualizing variance at different time scales.
Performed extensive data profiling to assess data sufficiency and improve project decision-making.

Data CollectionData VisualizationAmazon RedshiftReporting ToolData LineageInsight Generation+1