Akanksha Ojha profile photo 1 on Tal

Akanksha Ojha

Data Engineer @ Uber Ext | EX-Data Engineer- Product Analyst CIQ | Ex- Cognizant

Bengaluru

3+ years of work experience

Uber
Jun 20251 yr 3 mosPresent

Bengaluru, Karnataka, India

● Architected data infrastructure and supported payout, performance analytics for Uber Eats APAC serving 10+ markets ● Led migration from spreadsheet-based reporting to a centralized BigQuery data warehouse, improving scalability, reliability, and reducing processing time by 35% ● Designed, optimized, and maintained complex SQL ETL pipelines for payout, performance, and operational datasets. ● Built Python-based automation for data ingestion, validation, and reporting, reducing 10%+ manual effort and improving data quality and governance ● Built scalable data models and Looker reporting layers enabling real-time business KPI visibility ● Implemented data quality controls and reconciliation processes to ensure payout accuracy, compliance across APAC markets ● Collaborated with cross-functional stakeholders translated business requirements into scalable data solutions ● Accelerated development through AI-assisted tooling and Prompt Engineering, significantly reducing delivery timelines
CommerceIQ
Apr 20241 yr 3 mosJun 2025

Bengaluru, Karnataka, India

● Optimized web scraping pipelines, reducing infrastructure costs by 20% ($100K → $80K/month) ● Built Python-based analytics solutions that increased sales by 12% through pricing and demand optimization. ● Automated SQL monitoring and data quality frameworks, cutting client escalations by 40%. ● Developed scalable ETL pipelines, reducing manual operations by 70% and improving data reliability. ● Created stakeholder-facing data models, dashboards, and automated reporting systems to accelerate decision-making
Cognizant
Sep 20221 yr 1 moSep 2023

Bengaluru, Karnataka, India

● Developed scalable SQL reporting pipelines and analytical datasets to support business intelligence at scale. ● Collaborated cross-functionally with product and business stakeholders to deliver actionable insights that improved critical business outcomes. ● Engineered data models and analytics frameworks for product returns, reducing return rates by 15% and operational costs

Akanksha’s AI Stack

antigravity
antigravity
claudecode
claudecode

Education

NSHM College of Management and Technology

BCA, Computer Programming, Specific Applications

NSHM College of Management and Technology

20193 yrs2022
St. Stephen's School, DumDum

St. Stephen's School, DumDum

20145 yrs2019

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Headline

Data Engineer @ Uber Ext | EX-Data Engineer- Product Analyst CIQ | Ex- Cognizant

About

Data Engineer with 3+ years of experience designing and deploying production-scale data pipelines. Strong expertise in building Data Intensive systems using Python, SQL, Databricks, GCP. Proven track record of delivering cloud-native distributed systems using Python, SQL, and modern AI frameworks. Experienced in integrating real-time data pipelines, observability systems, and enterprise automation workflows

Location

Bengaluru

AI stack

antigravity

claudecode

Work experience

Data Engineer(Indium) at Uber, Jun 2025 - Present · 1 yr 3 mos, Bengaluru, Karnataka, India, ● Architected data infrastructure and supported payout, performance analytics for Uber Eats APAC serving 10+ markets ● Led migration from spreadsheet-based reporting to a centralized BigQuery data warehouse, improving scalability, reliability, and reducing processing time by 35% ● Designed, optimized, and maintained complex SQL ETL pipelines for payout, performance, and operational datasets. ● Built Python-based automation for data ingestion, validation, and reporting, reducing 10%+ manual effort and improving data quality and governance ● Built scalable data models and Looker reporting layers enabling real-time business KPI visibility ● Implemented data quality controls and reconciliation processes to ensure payout accuracy, compliance across APAC markets ● Collaborated with cross-functional stakeholders translated business requirements into scalable data solutions ● Accelerated development through AI-assisted tooling and Prompt Engineering, significantly reducing delivery timelines

Data Engineer - Product Analyst at CommerceIQ, Apr 2024 - Jun 2025 · 1 yr 3 mos, Bengaluru, Karnataka, India, ● Optimized web scraping pipelines, reducing infrastructure costs by 20% ($100K → $80K/month) ● Built Python-based analytics solutions that increased sales by 12% through pricing and demand optimization. ● Automated SQL monitoring and data quality frameworks, cutting client escalations by 40%. ● Developed scalable ETL pipelines, reducing manual operations by 70% and improving data reliability. ● Created stakeholder-facing data models, dashboards, and automated reporting systems to accelerate decision-making

Programmer Trainee — Data Platforms at Cognizant, Sep 2022 - Sep 2023 · 1 yr 1 mo, Bengaluru, Karnataka, India, ● Developed scalable SQL reporting pipelines and analytical datasets to support business intelligence at scale. ● Collaborated cross-functionally with product and business stakeholders to deliver actionable insights that improved critical business outcomes. ● Engineered data models and analytics frameworks for product returns, reducing return rates by 15% and operational costs

Education

BCA, Computer Programming, Specific Applications, NSHM College of Management and Technology

St. Stephen's School, DumDum