Hello,I'm Ambica Dasari!

Transforming raw data into powerful insights—one pipeline at a time.

Selected Work

Spotify ETL Pipeline on AWS

Automated ETL pipeline for Spotify data using AWS services. Extracts data from the Spotify API, transforms it, and loads it into S3 for querying via Athena.

Spotify ETL Pipeline on AWS

AWS LambdaS3Glue
Stock Market Real-Time Data Analysis

Real-time processing of stock market data using Apache Kafka and Spark Streaming for instant analytics and trend prediction.

Stock Market Real-Time Data Analysis

Apache KafkaReal-Time DataSpark Streaming
Azure NYC Taxi ETL Pipeline

Built an end-to-end ETL pipeline on Azure using Data Factory and Blob Storage to ingest, transform, and store NYC Taxi Zone data. Designed for scalable data movement and cleaning with no local execution.

Azure NYC Taxi ETL Pipeline

Azure Data FactoryBlob StorageETL
YouTube Data Pipeline Optimization

Optimized ETL pipeline handling 10TB+ daily data with AWS Glue, reducing processing time by 40%.

YouTube Data Pipeline Optimization

AWS GlueData LakeETL
Airflow Twitter Data Pipeline

Developed an automated data pipeline using Apache Airflow to ingest, process, and analyze real-time Twitter data, enabling sentiment analysis and trend insights.

Airflow Twitter Data Pipeline

Apache AirflowTwitter APIETL
Power BI Project

Developed a Power BI dashboard to optimize patient flow, reducing ER wait times by 20% and increasing satisfaction by 15%.

Power BI Project

Data VisualizationDashboardingAnalytics
Spotify ETL Pipeline on AWS

Automated ETL pipeline for Spotify data using AWS services. Extracts data from the Spotify API, transforms it, and loads it into S3 for querying via Athena.

Spotify ETL Pipeline on AWS

AWS LambdaS3Glue
Stock Market Real-Time Data Analysis

Real-time processing of stock market data using Apache Kafka and Spark Streaming for instant analytics and trend prediction.

Stock Market Real-Time Data Analysis

Apache KafkaReal-Time DataSpark Streaming
Azure NYC Taxi ETL Pipeline

Built an end-to-end ETL pipeline on Azure using Data Factory and Blob Storage to ingest, transform, and store NYC Taxi Zone data. Designed for scalable data movement and cleaning with no local execution.

Azure NYC Taxi ETL Pipeline

Azure Data FactoryBlob StorageETL
YouTube Data Pipeline Optimization

Optimized ETL pipeline handling 10TB+ daily data with AWS Glue, reducing processing time by 40%.

YouTube Data Pipeline Optimization

AWS GlueData LakeETL
Airflow Twitter Data Pipeline

Developed an automated data pipeline using Apache Airflow to ingest, process, and analyze real-time Twitter data, enabling sentiment analysis and trend insights.

Airflow Twitter Data Pipeline

Apache AirflowTwitter APIETL
Power BI Project

Developed a Power BI dashboard to optimize patient flow, reducing ER wait times by 20% and increasing satisfaction by 15%.

Power BI Project

Data VisualizationDashboardingAnalytics

Experience

AWS Cloud Developer

Indiana UniversityJan 2025 - Present

Led the development of scalable cloud solutions and AWS infrastructure.

Data Engineer

Larsen and Toubro InfotechJul 2021 - Jul 2023

Developed and maintained data pipelines, ETL processes, and data warehousing solutions.

Data Analyst Intern

Lancius IT SolutionsJun 2019 - Jul 2019

Gained hands-on experience in data analysis and visualization techniques.

AWS Certified Data Engineer – Associate

Amazon Web ServicesView Credential

Validated expertise in designing and implementing AWS data solutions

Skills

Programming Languages

PythonC++JavaRCHTMLCSSPHPJavaScript

Development and Data Tools

Apache KafkaApache SparkGitDockerReal-Time Data ProcessingETL & Data Pipelines

Cloud & Tools

AWS (ECS, Lambda, S3, Glue, Redshift CloudWatch)GCP

Frameworks & Libraries

PandasNumPyPySparkMatplotlibExpressFlaskPower BITableau

Databases

PostgreSQLMySQLSQLSupabaseSnowflakeFirebase

Others

Data Warehousing & GovernanceBig Data ProcessingMachine Learning & AnalyticsSystem DesignAgile & Scrum

Let's Connect

I'm always interested in hearing about new opportunities and projects.

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