Building a Comprehensive Data Ecosystem for an Indian Voice-Based Social Media Platform to Enhance User Engagement

Industry

Social Media

Expertise

Amazon S3, Amazon SQS, AWS Lambda, Amazon SNS, Amazon DynamoDB, Amazon API Gateway, Amazon EC2

Offerings/Solutions

Scalable Data Engineering for Global Impact with 100k Users and 55% Engagement

About the Client

Amtex, with over 25 years of expertise, a team of 1500+ professionals, and a clientele of 250+ global entities, excels as a Systems Integrator in voice-based social media. Originating in India, it facilitates free expression in native languages, connecting diverse urban and rural audiences for authentic dialogue and idea sharing.

Highlights

100k users

Achieved a user base increase

55%

User Engagement

15k

Active users per month

Solutions

CloudThat’s analytics team created a separate AWS account for data-driven solutions.
Established cross-account access to the primary AWS account.
In the data engineering account, set up a centralized data lake using Amazon S3 for raw JSON data storage.
Transferred data between accounts using Amazon SQS and AWS Lambda, streaming it to Amazon DynamoDB and Amazon Kinesis.
Utilized Amazon Transcribe to transcribe audio to text in various languages, storing the data in Amazon DynamoDB and Amazon S3.
Translated transcribed text into SRT format for multiple languages and stored it in Amazon DynamoDB and Amazon S3.
Processed Amazon API Gateway requests and stored data in Amazon DynamoDB.
Employed Amazon SQS to send raw transcribed text to Amazon Comprehend and Translate AWS Lambda functions, filtering for hashtags and storing them in Amazon DynamoDB.
Stored data from Amazon Kinesis Data Firehose in Amazon S3, with data transformation through AWS Glue Crawler and ETL jobs.
Queried data from Amazon S3 using Amazon Athena and fetched required features with AWS Lambda for storage in Amazon DynamoDB.
Stored data from automated and manual hashtags in Amazon DynamoDB in an Amazon S3 bucket.

The Results

Delivered a scalable data system achieving a 100k user base, 55% engagement, and 15k active users monthly, featuring global hashtag queries, AI/ML support, and enhanced user experience with trending hashtags, multilingual closed captions, sentiment analysis, and streamlined Slack integration for monitoring.

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