Praveen Adlakha

Director of Engineering

Bengaluru, Karnataka, India15 yrs 10 mos experience
Highly Stable

Key Highlights

  • Expert in building scalable data platforms.
  • Proven leadership in cross-functional team collaboration.
  • Strong background in data engineering and transformation.
Stackforce AI infers this person is a Data Engineering and Management expert in SaaS environments.

Contact

Skills

Core Skills

Data EngineeringData ManagementCloud ComputingData Science

Other Skills

Data IngestionData TransformationData Lake ManagementStakeholder CollaborationAnalytics and ML SupportAWSMicroservicesDatabricksData ProcessingReal-time AnalyticsCollaborationReporting AnalyticsDB event replicationData pipeline auditingKafka

About

I am a versatile engineering manager with expertise in a wide range of areas, including data engineering, data science, DevOps, backend development, and frontend development. I have a strong focus on programmatic problem-solving and thrive on tackling high-impact challenges that require a combination of data engineering, data science, and domain expertise. ■ At my current job at Atlassian i manage a Data ingestion and Data Transformation plafrom which are truely self serve in nature with UI, API's support , We use microservices, Databricks and AWS to support it. ■ Successfully rebuilt a real-time and near-real-time data platform exceeding 50 PB at my current job, demonstrating my expertise in scalable and efficient data processing. ■ Led a team in developing a real-time and tranformation platform which is landing around 12 TB of data every day in a cost optimal fashion.This project required a deep understanding of economics, data engineering, business domain expertise. ■ Designed, Developed and led large scale projects for Adtech industry, Ecommerce and SAAS. ■ 13+ years in development of Data engineering, data science and Full stack software design and development. Strong customer facing skills. ►► Technologies worked on: AWS, Java, Hadoop, Spark, Kafka Streams, Kafka, Redshift, Athena, Dynamodb, Impala, Oozie, Scala, Python, SQL ( Yeah, It's a very powerful programming language ), Java, R, MySql, React, Node.js, Angular.js, Posgresql.

Experience

15 yrs 10 mos
Total Experience
3 yrs 2 mos
Average Tenure
2 yrs 9 mos
Current Experience

Adobe

2 roles

Senior Engineering Manager

Promoted

Jun 2025Present · 11 mos · On-site

Engineering Manager

Aug 2023Jun 2025 · 1 yr 10 mos · On-site

Atlassian

2 roles

Engineering Manager

Nov 2020Jul 2023 · 2 yrs 8 mos · Bengaluru, Karnataka, India

  • 1. Data Ingestion:
  • Lead the integration of various data sources into the Data Lake, collaborating with data teams to build efficient ingestion pipelines that capture accurate data.
  • 2. Data Transformation:
  • Oversee data transformation processes to ensure data quality and scalability. Work closely with data engineers to develop workflows that cleanse and enhance data for analytics and ML.
  • 3: Data Lake Management
  • Implement governance policies and optimize Data Lake infrastructure for performance and scalability. Ensure data cataloging and metadata practices improve data discoverability and usability.
  • 4. Stakeholder Collaboration:
  • Partner with cross-functional teams and business leaders to understand data needs, aligning Data Lake
  • strategy with organizational goals and facilitating effective communication across technical and non-
  • technical teams.
  • 5. Analytics and ML Support:
  • Support reporting and ML initiatives by providing access to curated datasets and infrastructure. Collaborate with analysts to maintain reporting frameworks and visualization tools that drive data-driven insights.
Data IngestionData TransformationData Lake ManagementStakeholder CollaborationAnalytics and ML SupportData Engineering+1

Senior Staff Engineer

Oct 2019Nov 2020 · 1 yr 1 mo · Bengaluru, Karnataka, India

  • Key Responsibilities:
  • 1. Data Ingestion:
  • Oversee the ingestion process of diverse data sources into the Data Lake.
  • Collaborate with data engineers and data scientists to identify, acquire, and onboard relevant data from internal and external sources.
  • Implement efficient data ingestion pipelines to ensure timely and accurate data capture.
  • 2. Data Transformation:
  • Design and implement data transformation processes to cleanse, validate, and enhance data within the Data Lake.
  • Work closely with data engineers and data analysts to develop scalable and efficient data transformation workflows.
  • Ensure data quality and integrity throughout the transformation process.
  • 3. Data Lake Management:
  • Develop and enforce data governance policies and best practices for the Data Lake.
  • Establish and maintain data cataloging and metadata management practices to enhance data discoverability and usability.
  • Monitor and optimize the performance and scalability of the Data Lake infrastructure.
  • 4. Collaboration and Stakeholder Management:
  • Collaborate with cross-functional teams, including data engineers, data scientists, analysts, and business stakeholders, to understand their data requirements.
  • Work closely with business leaders and executives to align the Data Lake strategy with organizational goals and objectives.
  • Act as a liaison between technical and non-technical teams to bridge the gap and ensure effective communication.
  • 5. Reporting Analytics and ML Support:
  • Support reporting analytics initiatives by providing access to curated datasets within the Data Lake.
  • Collaborate with data analysts to develop and maintain reporting frameworks and data visualization tools.
  • Facilitate the integration of ML platforms by providing the necessary data and infrastructure support.
Data IngestionData TransformationData Lake ManagementCollaborationReporting AnalyticsData Engineering+1

Intuit

Senior Data Engineer

Nov 2017Sep 2019 · 1 yr 10 mos · Bengaluru Area, India

  • DB event (change data capture) replication from RDBMS to Hive (Data warehouse system in Hadoop eco system).
  • Technologies
  • ===========
  • AWS web services,Kafka, Hadoop, Spark Scala, WebServices(REST)
  • Data pipeline auditing framework
  • Technologies
  • ===========
  • Kafka, Spark Streaming, HBase, Splunk, WebServices(REST)
Data IngestionData TransformationData Lake ManagementCollaborationReporting AnalyticsData Engineering+1

Inmobi

2 roles

Technical Lead

Promoted

Jan 2017Nov 2017 · 10 mos · Bengaluru Area, India

  • Responsibilities include mentoring juniors via architectural implementations/enhancements on various Data systems and also being front face of Apache Falcon and Data Reporting Systems @ Inmobi.
DB event replicationData pipeline auditingAWSKafkaHadoopSpark+3

Senior Software Engineer

Aug 2013Dec 2016 · 3 yrs 4 mos · Bengaluru Area, India

  • Working on building entire EDW/BI product stack
  • Logical and physical data modeling/design
  • ETL process design and implementation
  • High Availability and Scaling of product
  • Performance tuning

The apache software foundation

Apache Falcon Committer

Nov 2016Present · 9 yrs 6 mos

  • Have worked on :
  • User Extensions,Falcon Shell, BackLogMetricService, Monitoring Service ,LogMoverService, Persistance Store in Falcon along with many enhancements
  • List of my falcon commits :
  • https://goo.gl/Qm3246

Healthkart

Software Developer

Feb 2012Aug 2013 · 1 yr 6 mos · Gurgaon, India

  • Developing BI reports for enhancements/projects from detailed design documents utilizing Microstrategy v9.Functional Consulting with different departments and resolve their business needs in form of reports required for strategic decisions.
  • Developing ETL programs for enhancements/projects from detailed design specifications utilizing PLSQL and Informatica v9.
  • Conducting root cause analysis and resolve production problems and data issues as necessary. Perform SQL tuning and serve as the primary escalation point for complex performance and database issues.
  • Acting as a bridge between Business Users, Business Analysts, Data Analysts, Data Architects, ETL & BI Developers by getting their requirement transformed into technology.
  • Database designing for data warehousing.
  • Server administration.

Servigistics

System Architect

Aug 2010Mar 2012 · 1 yr 7 mos

  • Worked as a part of the suport team on various client projects
  • Responsible for developing the ETL interface between Servigistics and client systems
  • Responsible for custom code development
  • Responsible for workflow scheduling and error handling
  • Responsible for project documentation

Education

Guru Gobind Singh Indraprastha University

B.tech — Computer Science

Jan 2006Jan 2010

Rao Man Singh Public School

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