Anuvab Sen

Associate Consultant

Mumbai, Maharashtra, India4 yrs experience

Most Likely To Switch

Key Highlights

Engineered high-volume ETL pipelines for data ingestion.
Designed data flow architectures for multiple brands.
Developed a successful campaign management system.

Stackforce AI infers this person is a Data Engineer specializing in MarTech and Data Integration.

Contact

anuvab.sen@tcgre.com LinkedIn

Skills

Core Skills

Data EngineeringEtlIntegration ArchitectureFront-end DevelopmentSoftware Development

Other Skills

Agile DevelopmentAirflowAnalyticsApache AirflowApache SparkApplication DevelopmentApplication Programming Interfaces (API)Back-End Web DevelopmentBig DataBigQueryBranchBusiness Intelligence (BI)C (Programming Language)Campaign ManagementCascading Style Sheets (CSS)

About

Good and eager at learning and implementing new technologies and frameworks , able to guide myself and work autonomously as well as on a team , looking for an opportunity to work and research on projects to broaden my scope of learning. Worked on Campaign Management Platform , UI Automation Using Selenium , Worked on creating of ETL pipelines using pySpark.

Experience

4 yrs

Total Experience

2 yrs

Average Tenure

2 yrs 4 mos

Current Experience

The chatterjee group

Associate MarTech AdTech Analytics

Feb 2024 – Present · 2 yrs 4 mos · Mumbai, Maharashtra, India

Engineered and Productionized Distributed ETL Pipelines using Databricks, PySpark, and SQL , ingesting high-volume data from PostgreSQL, MongoDB, and REST APIs, ensuring high availability and schema evolution resilience across our 3 products- Ziki, Yukio, Sirrus.AI.
Uninstall Data Pipeline: Built a data pipeline to transfer uninstall event data from MoEngage to Branch and GA4, enabling precise re-targeting campaigns that boosted user retention by 10% and-
increased customer lifetime value (CLTV) by 5%.
Customer Gender Identification: Designed and implemented a gender prediction pipeline using first and last names, accurately identifying gender for 20K+ customers to enable personalized, gender-specific campaigns—resulting in improved CTR by 5% and conversion rates by 4%
App Analytics - Implemented Mixpanel SDK across 3 apps to track user clickstream data, optimizing reports on user journeys, key funnels, and dashboards. Built app overview and key business insights reports for CXOs, increasing ATC rate by 40% and reducing pin-code errors by 20%.
Built and maintained data pipelines to ingest user analytics from Mixpanel and attribution data from Branch, enabling a comprehensive customer view to support targeted marketing strategies.
App Analytics - Implemented Mixpanel SDK across 3 apps to track user clickstream data, optimizing reports on user journeys, key funnels, and dashboards. Built app overview and key business insights reports for CXOs, increasing ATC rate by 40% and reducing pin-code errors by 20%.

DatabricksPySparkSQLPostgreSQLMongoDBREST APIs+5

Tata digital

3 roles

Sr Digital Engineer 1

Promoted

Jun 2023 – Feb 2024 · 8 mos · Mumbai, Maharashtra, India

Product Feeds Pipeline for Meta Ads: Created a system to sync brand catalogue from BigQuery to Meta Ads console using scheduled queries and Cloud Functions, doubling CTR and reducing customer acquisition cost by 1.8x. Automated updates for price and inventory changes to enhance ad-driven customer satisfaction.
Architecting Purchase Data Flow for 13 Brands: Designed and purchase data flow for 13 brands, integrating with Branch and GA4 platforms. Wrote daily data transfer jobs using Big Query (scheduled queries) to map customer hash to AAID, IDV, and IDFC. Automated large dataset transfers with Airflow, leveraging Spark jobs for parallelism, and collaborated with Google to optimize GA4 and Branch API usage.

BigQueryCloud FunctionsAirflowSparkData EngineeringIntegration Architecture

Digital Engineer

Jun 2022 – Jun 2023 · 1 yr · Mumbai, Maharashtra, India

Developed of Tata Neu in house transactional campaign system, managing end-to-end processes including OTP delivery and real-time campaign triggers based on user clickstream data and capture campaign analytics
Designed and maintained scalable data pipelines to personalize and deliver 100K+ promotional campaigns to millions of users annually—powering high-traffic events like IPL and significantly boosting user engagement.

Campaign ManagementData PipelinesData Engineering

Digital Engineer Intern

Mar 2022 – May 2022 · 2 mos · Mumbai, Maharashtra, India

Contributed to developing the front-end Progressive Web App (PWA) for Tata Neu's marketing website using Next.js, React.js, and Sanity CMS. The PWA improved page load time by 30%, resulting in a 15% increase in user engagement and a 10% boost in conversion rates, aligning with Tata Neu’s innovative brand identity.

Next.jsReact.jsSanity CMSFront-End Development

Highradius

2 roles

UI Automation Intern

Jun 2021 – Feb 2022 · 8 mos

UI Automation on Product Autonomous Collections: Contributed to writing scripts for automated testing, automating over 80% test cases across all platform pages. This accelerated the testing process while ensuring high precision and accuracy in verifying features and functionalities

UI AutomationSoftware Development