
Sai Madhuri Akondi
Engineering / Architecture
About Sai Madhuri Akondi:
I am a data engineer with years of experience in designing and developing data pipelines, ETL processes, and data warehouse solutions for various clients. I have extensive knowledge and skills in Python, snowflake, Amazon Web Services like Lambda function, S3, SNS, SQS, SSM, Glue Job, RDS, Step function, cloud watch KMS, Secrets manager, IAM, Databrew, Apache Airflow, apigee and swagger, NumPy, PySpark, Serverless, Git, Docker, SQL. I have also successfully delivered data engineering projects using agile methodologies and best practices
Experience
Current Role at FactSet (Software Engineer II):
- Focus: Modernizing legacy pipelines with hybrid infrastructure.
- Achievements:
- Enhanced data collection for near real-time and accurate data.
- Automated deployments using Infrastructure as Code (IAC) pipelines (Terraform).
- Developed Python notebooks for time series calculations.
- Hands-on experience in end-to-end ETL pipelines.
- Collaborated with stakeholders to design architecture based on business requirements.
- Migrated legacy code to cloud-compatible using Python.
- Integrated SonarQube for code quality maintenance.
Previous Role at TCS (Data Engineer):
- Responsibilities:
- Designed and developed end-to-end ETL/ELT pipelines for a fintech client.
- Guided junior engineers and served as a subject-matter expert.
- Translated business requirements into technical specifications.
- Practiced coding standards, code reviews, and documentation.
- Worked with Data Lake and cloud Data Warehouses (e.g., Snowflake).
Notable Projects:
- Semi-Structured File Ingestion Architecture:
- Designed and implemented an architecture for ingesting JSON and headerless CSV files.
- Structured and Unstructured File Ingestion:
- Collaborated on implementing structured and unstructured file ingestion using Amazon services.
- Self-Service APIs for Table Operations:
- Developed APIs for table operations with an authorization model.
- Legacy Application Modernization:
- Migrated legacy components to cloud-based solutions using AWS services.
- Data Collection from Mails and FTP:
- Implemented secure data collection from FTP and mail sources.
Education
I am a B.Tech Graduate in Electronics and Communication Engineering
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Role & responsibilities · Key Responsibilities · Design, build, and maintain scalable, reliable, and secure data pipelines on AWS. · Architect and implement data lakes and data warehouses using AWS services. · Lead end-to-end ETL/ELT pipeline development for structured and unstru ...
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Develop and implement efficient data pipelines using Apache Spark (PySpark preferred) to process and analyze large-scale data. · Design, build, and optimize complex SQL queries to extract, transform, and load (ETL) data from multiple sources. · Orchestrate data workflows using Ap ...
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Key Responsibilities: · Data Pipeline Development · Design, build, and maintain scalable data pipelines using Python and Apache Spark via Databricks · Develop ETL/ELT workflows to ingest, transform, and load structured and unstructured data from multiple sources · Optimize data w ...
Hyderabad / Secunderabad, Telangana5 days ago