Jagadesh Pattem

Data Engineer

Hyderabad, Telangana, India3 yrs 1 mo experience

Most Likely To Switch

Key Highlights

Optimized data integration workflows, enhancing efficiency.
Redesigned ETL pipelines, significantly reducing processing time.
Automated financial reporting with innovative Slack bot integration.

Stackforce AI infers this person is a Data Engineer specializing in SaaS solutions with strong API and ETL capabilities.

Contact

jagadeshpattem1996@gmail.com LinkedIn

Skills

Core Skills

Data EngineeringApi DevelopmentWeb Development

Other Skills

Amazon RedshiftPentahoAPI IntegrationPython FastAPIETL pipelinesData AutomationSQLNetworkingSystem TestingCascading Style Sheets (CSS)Bootstrap (Framework)DockerKafkaFastAPINode.js

About

Data Engineer skilled in building and optimizing both real-time and batch cloud data pipelines, ETL workflows, and automation to deliver faster, scalable, and high-accuracy data solutions. Passionate about turning complex data challenges into efficient, business-ready insights. Specialized in modern technologies like Python, Node.js, Amazon Redshift, S3, SQL, PostgreSQL, MongoDB, and API integrations and API development using FastAPI. Core Competencies: • Data Engineering: ETL/ELT pipelines, data ingestion, transformation, reconciliation, automation • Databases: Amazon Redshift, PostgreSQL, MongoDB, SQL (optimization, query tuning, schema design) • Cloud & Storage: Amazon S3, AWS ecosystem, cloud-native integrations • Scripting & Development: Node.js, Linux, shell scripting, API development using Python FastAPI and API integrations using Python and Node.js • Analytics & Reporting: Reconciliation reports, outlier detection, automated reporting (Slack Bots, APIs)

Experience

3 yrs 1 mo

Total Experience

1 yr 6 mos

Average Tenure

2 yrs 5 mos

Current Experience

Yolo group

Data Engineer

Jan 2024 – Present · 2 yrs 5 mos · Hyderabad, Telangana, India · On-site

Key Achievements:
1. Optimized API data integration workflows, reducing execution time from ~1 hour to under 1 minute, improving efficiency and data availability.
2. Redesigned ETL pipelines, cutting integration time from 30 minutes to 5 minutes, enabling faster downstream processing and reporting.
3. Improved reconciliation processes by eliminating false positives, which increased report accuracy and reduced operational overhead.
4. Migrated and re-engineered an analytical outlier detection job from R to SQL, achieving 100% accuracy while simplifying maintenance and execution.
5. Automated financial reporting by building a Slack bot integration, streamlining delivery of team budget insights and enhancing decision-making efficiency.
6. Implemented lightweight APIs using Python FastAPI.
Proficient in third party APIs like Jira API, HiBob(HR Tool) API