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lakshmi_dodla

Lakshmi dodla

@lakshmi_dodla

Senior Engineer

Indien
Englisch
Einige Informationen werden in englischer Sprache angezeigt.
Über mich
Senior Engineer with 7+ years of experience in Python development, Data Engineering, API Integrations, and Cloud Solutions. Expertise in Snowflake, AWS, GCP, Django, Apache Airflow, Terraform, REST APIs, and SQL. Proven track record in cloud migrations, ETL pipeline development, enterprise application integrations, and serverless architectures. Experienced in integrating SharePoint, Wrike, Aprimo, and vendor platforms, while delivering scalable solutions that improve operational efficiency, reduce costs, and accelerate business outcomes.... Mehr lesen

Kompetenzen

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lakshmi_dodla
Lakshmi dodla
offline • 
Durchschnittliche Antwortzeit: 1 Stunde

Meine Dienstleistungen

Beratung im Bereich Datentechnik
I will deliver end to end software and data engineering services
Programmierung & Technik
I will automate the workflows with apis

Arbeitserfahrung

Genpact

senior engineer

Genpact • Vollzeit

Jun 2022 - Present4 yrs 1 mo

• Led enterprise-scale data warehouse migration initiatives from SQL Server to Snowflake, designing scalable data models, ETL frameworks, and automated data pipelines using Python and Apache Airflow. Optimized Snowflake performance, storage utilization, and reporting workloads, enabling near real-time analytics while reducing report generation time by up to 70%. • Spearheaded cloud modernization programs by migrating on-premise applications, automation scripts, and data processing workloads to AWS cloud environments. Designed Infrastructure as Code (IaC) solutions using Terraform and implemented serverless architectures leveraging AWS Lambda, S3, IAM, CloudWatch, and EventBridge, significantly improving scalability, deployment efficiency, and disaster recovery capabilities. • Developed automated SharePoint integration solutions to extract, transform, and distribute business-critical data to multiple external vendor platforms. Automated end-to-end file processing workflows using Python and AWS services, reducing manual effort by over 80% and improving operational accuracy and reliability. • Designed and implemented enterprise integrations between business applications including Aprimo, Wrike, Airtable, Widen, SharePoint, and vendor systems using REST APIs, webhooks, JSON, and XML-based communication frameworks. Developed reusable integration components that accelerated onboarding of new applications while improving interoperability and workflow automation. • Built Digital Asset Management solutions integrating Aprimo with internal enterprise systems, implementing metadata enrichment, asset synchronization, lifecycle management, archival automation, and storage optimization strategies that reduced storage costs and enhanced digital asset governance. • Developed RESTful APIs and enterprise application services using Python, Django, and Django REST Framework, implementing OAuth, JWT authentication, schema validation, and secure data exchange mechanisms to support s

Accenture

Application development analyst

Accenture • Vollzeit

Dec 2018 - Jun 20223 yrs 6 mos

• Designed and developed enterprise retail applications for order processing, inventory management, and workflow automation using Python, Django, PostgreSQL, JavaScript, and UNIX Shell Scripting. Implemented scalable MVC-based architectures, robust backend services, and user-friendly interfaces to support business-critical retail operations. Developed and optimized frontend and backend modules, including CRUD functionalities, database integrations, and business workflows, improving inventory visibility, streamlining order fulfillment processes, and enhancing overall operational efficiency and customer experience. • Developed enterprise reporting, analytics, and monitoring solutions using Splunk, Looker, SQL, and data visualization technologies to support strategic business decision-making. Designed advanced reporting frameworks, dashboards, and operational monitoring systems providing real-time insights into application performance, business KPIs, and data pipeline health. Built optimized SQL queries and scalable analytics solutions that improved data accessibility, reporting efficiency, and stakeholder visibility into operational metrics. Enabled proactive monitoring, faster issue resolution, and data-driven decision-making through actionable business intelligence and performance analytics. • Designed and implemented scalable ETL and data engineering solutions using Apache Airflow, Apache Spark, PySpark, AWS Glue, Python, Pandas, and NumPy to support enterprise data integration and analytics initiatives. Developed automated data ingestion, transformation, validation, and loading frameworks capable of processing large volumes of structured and unstructured data. Built reusable data pipelines and workflow orchestration solutions that improved data quality, reliability, and processing efficiency.