V Satya Sai Dasari Email & Phone Number

Bellevue, WA, US

United States

• Experienced in Agile sprint backlog grooming, sprint planning, and conducting sprint reviews and retrospectives to ensure continuous improvement and efficient project delivery.
• Designed and developed scalable and cost-effective architectures using AWS Big Data services, covering the entire data lifecycle from collection and ingestion to storage, processing, and visualization.
• Created a PySpark-based Data Ingestion framework to import source claims data into HIVE tables, incorporating data cleansing, aggregation, and de-duplication logic to ensure updated and accurate records.
• Developed an End-to-End data pipeline in a distributed environment utilizing Big Data tools, Spark framework, and Tableau for comprehensive data visualization.
• Utilized Druid to perform real-time analytics on streaming data from diverse sources, delivering timely insights into dynamic datasets.
• Enhanced Druid's real-time streaming capabilities, enabling the processing and analysis of high-velocity, high-volume data streams in real-time, thereby improving decision-making processes.

United States

• Designed and implemented a user interface for B2B bid monitoring across various stages, leveraging TypeScript to improve operational oversight and stakeholder interaction.
• Created data pipeline for different events of ingestion, aggregation, and load consumer response data into S3 buckets to serve as feed for AWS Quick sight Dashboard.
• Developed test frameworks for validating data at various points within the data pipeline.
• Implemented AWS Lambda functions to run scripts in response to events in Amazon DynamoDB table or S3 bucket or to HTTP requests using Amazon API gateway.
• Implemented a serverless architecture using API Gateway, Lambda, SQS and Dynamo DB and deployed AWS Lambda code from Amazon S3 buckets. Created a Lambda function and configured it to receive events from S3 on every new.
• Utilized AWS Step functions, AWS Lambda, PySpark to build a file check pipeline to parse the raw transaction files.

• Optimized DataStage parallel jobs to take full advantage of multi-threaded processing, improving job performance and reducing execution time.
• Designed, developed, and maintained complex data workflows in Apache Airflow to automate ETL and data processing.
• Worked with Cloud Data Catalog and other google cloud APIs for monitoring, query, and billing related analysis for BigQuery usage.
• Automated ETL workflows using Google Cloud Composer (Apache Airflow), orchestrating data movement and transformation across various GCP services.
• Creating alerting policies for Cloud Composer, Cloud Data fusion to notify on any job failure.
• Managed and optimized data processing workflows using Google Cloud Platform (GCP) services including Dataproc, Google Cloud Storage (GCS), Cloud Functions, and Big Query, ensuring seamless integration and efficient.

Hyderabad, Telangana, India

• Involved in implementation of new statistical algorithms and operators on Hadoop and SQL platforms and utilized optimizations techniques, linear regressions, K-means clustering, Native Bayes and other approaches.
• Developed Spark batch job to automate creation/metadata update of external Hive table created on top of datasets residing in HDFS.
• Developed Data Serialization spark common module for converting Complex objects into sequence bits by using AVRO, PARQUET, JSON, CSV formats.
• Worked on ERModeling, Dimensional Modelling (Star Schema, Snowflake Schema), Data warehousing and OLAP tools.
• Populated HDFS and PostgreSQL with huge amounts of data using Apache Kafka.
• Design and develop Rest API (Commerce API) which provides functionality to connect to the PostgreSQL through Java services.

Hyderabad, Telangana, India

• Designed and implemented data warehouse structures, including the creation of fact tables, dimension tables, and aggregate tables using dimensional modeling techniques, specifically Star and Snowflake schemas.
• Involved in converting existing Hive/SQL queries into Spark transformations using Spark RDD and Python.
• Developed and executed data quality scripts using SQL and Hive to ensure accurate data loading and maintaining high standards.
• Developed and optimized MapReduce jobs to process large datasets efficiently in a distributed Hadoop environment.
• Created AWS Pipelines by extracting customer data from various sources such as Excel, Flat Files, Oracle, SQL Server, Teradata, and server log data into Hadoop HDFS.
• Developed a python script to validate files which are being uploaded across several S3 buckets.

Hyderabad, Telangana, India

• Developed ETL pipelines to extract, transform, and load data in and out of the data warehouse using a combination of Python and Snowflake's SnowSQL.
• Designed and implemented 3NF data models for OLTP systems and dimensional data models using Star and Snowflake schemas for efficient data organization and retrieval.
• Developed PySpark pipelines which transform the raw data from several formats to parquet files for consumption by downstream systems.
• Leveraged Kafka for real-time data import into Hadoop and implemented Oozie workflows to schedule and manage data imports efficiently.
• Developed a data pipeline using Spark Streaming and Kafka to store data in HDFS and perform real-time analytics on incoming data.
• Orchestrated data preparation using Azure Data Factory and Databricks and loaded the processed data into SQL Data Warehouse.

Master Of Engineering - Meng, Computer Engineering, 3.25

Bachelor Of Technology - Btech, Electrical And Electronics Engineering, 3.74