Himateja Madala

CTO

United States17 yrs 2 mos experience

Most Likely To SwitchHighly Stable

Key Highlights

Expert in building scalable data platforms.
Proven leadership in managing large engineering teams.
Strong background in machine learning and data engineering.

Stackforce AI infers this person is a SaaS expert with a strong focus on data engineering and machine learning.

Contact

himateja.x.madala@disney.com LinkedIn

Skills

Core Skills

Data EngineeringMachine LearningData InfrastructureTeam Leadership

Other Skills

Knowledge ManagementTechnical ArchitectureData PlatformsNatural Language ProcessingData VisualizationAutomationAmazon Web Services (AWS)Apache KafkaData TelemetryData ArchitectureApache SparkCommunicationAWSOrchestrationElasticsearch

About

Engineering leader with extensive experience in Data Engineering , Data Platforms and an understanding on Machine Learning Engineering. My leadership philosophy is to lead from the front, lead with integrity, lead by the GOLDEN RULE(https://en.wikipedia.org/wiki/Golden_Rule).

Experience

17 yrs 2 mos

Total Experience

1 yr 11 mos

Average Tenure

3 yrs 5 mos

Current Experience

The walt disney company

Engineering Leader, Knowledge Management and AIML

Jan 2023 – Present · 3 yrs 5 mos

In my current role I am responsible for building a Knowledge Management Platform that hosts relational data, graph data and unstructured textual data to feed LLM models that serve multiple Gen AI usecases.
I'm responsible for context management in RAG systems that feed LLM's to add inteliigence to various Disney products across the board.
As part of my charter i architected a conversational AI app that transforms text-sql,text-api,text to semantic search crawling over diverse knowledge bases to generate responses to Natural Language Queries.
I also leveraged AI solutions to automate workflows to build real time dashboards that feed the data for strategic decision making at executive level.
Previously I Built a Knowledge graph to consolidate metadata from heterogeneous systems(Cloud,On Prem, Orchestration tools) and help solve for Data Lineage, Data Reliability and Data Consumption Analytics.

Data EngineeringKnowledge ManagementMachine LearningTechnical ArchitectureData Platforms

Disney streaming

Engineering leader , Data Platforms

Dec 2022 – May 2023 · 5 mos

Leading a team of ~35 engineers (early in career to sr staff engineers), across three scrum teams with experience managing Managers .
On the Platform team, built a data platform based on Data Mesh to serve data engineering teams, analytics teams, data science teams across Disney+,Hulu and ESPN+.
Team Size: ~35 engineers
Teams running on the platform:10-15
Footprint : 50+ AWS accounts.
Grew this team from few engineers to its current size of 35.
My team develops all the building blocks necessary to build standardized pipelines across Disney+,Hulu, ESPN+. Tools built and orchestrated helped roll out Data Pipeline as Service(DPaas) which is a plug and play framework for data engineering teams to use for building pipelines.
Domain Driven Data Platform: Built a Data Platform based on the Data Mesh Concept. This includes Compute and Orchestration for pipelines.
Observability : Leverage CNCF open source for data telemetry to provide observability for all components of the pipeline
Metadata Management : Consolidate and Deliver Metadata to Data Engineers, Built lineage for Data Reliability and Analytics for Consumption Patterns.
I enjoy coaching engineers, taking active part in design reviews/product roadmap and setting up processes that allow for engineers to do their most impactful work. I thrive in fast-paced environments that value doers.
Skills: Hiring · Strategic Roadmaps · Performance Reviews · Cross-functional Initiatives · People Management

Data InfrastructureAmazon Web Services (AWS)Technical ArchitectureApache KafkaData TelemetryTeam Leadership+3

Truedata

Senior Data Engineering Manager

Mar 2019 – May 2020 · 1 yr 2 mos · Los Angeles Metropolitan Area

Leading teams at Truedata to build a DAAS(Data-as-a-service) platform to deliver end to end data delivery solutions.
Execution focussed role while wearing multiple hats of TPM, Product to deliver on committed SLA's to stakeholders.
Architected/Revamped and built a new Data Ingestion Pipelines/Data Lake in S3 to host our data assets that feed into our Audience Builder systems.
Designed and developed a Point-Of-Interest pipeline using geo spatial queries that is capable to mapping latitude,longitude to a POI thus making customer visits available in audience builder .
Extensive experience tuning spark jobs to consume huge amounts of data and delivery of exports to client within the committed SLA.
Technology Stack: Spark, Databricks, AWS, EMR, Lambda, Airflow, Kinesis,Scala, Redshift, Docker.

Amazon Web Services (AWS)Technical ArchitectureApache KafkaTeam LeadershipMachine LearningData Architecture+3

Warner bros. entertainment

Engineering Manager-Big Data

Aug 2016 – Mar 2019 · 2 yrs 7 mos · Los Angeles Metropolitan Area

Grew to the role of Managing Senior IC's from being a IC myself.
Helped build the Data Lake architecture that formed the basis for Audience Profiling and Customer Segmentation.
Managed a team of data engineers and helped them grew to Senior IC by coaching and mentoring.

Amazon Web Services (AWS)Technical ArchitectureApache KafkaTeam LeadershipData ArchitectureApache Spark+2

Playtika santa monica

Senior Big Data Engineer

Apr 2015 – Aug 2016 · 1 yr 4 mos · Los Angeles Metropolitan Area

Amazon Web Services (AWS)

Envestnet | yodlee india

Member Of Technical Staff

Jun 2013 – May 2015 · 1 yr 11 mos

Actively contributing to Meerkat which is a Categorization engine for Transactions.Uses machine learning to automatically learn and predict the source of thousands of transactions.

Machine Learning