Apr 2023 – Feb 2025 · 1 yr 10 mos · Berlin, Germany · Remote

• As a Senior Data Engineer at JaJa, I’ve consistently demonstrated leadership and technical expertise in delivering impactful data engineering initiatives. A standout achievement has been leading the integration of Coalesce into our data warehouse. From proof of concept to production, I managed every aspect, including creating a detailed roadmap, onboarding the team through workshops, and ensuring compliance and private link connectivity between Coalesce and Snowflake.
• I played a pivotal role in the Redshift-to-Snowflake migration, designing frameworks to efficiently test large volumes of unstructured JSON data, significantly reducing turnaround times. Post-migration, I developed strategies to dynamically mask and classify sensitive data using Snowflake’s tagging and masking features, eliminating manual intervention and ensuring compliance with audit standards.
• Innovation has been at the core of my contributions. I played a key role in the company’s early adoption of AI, designing pipelines to seamlessly stream data from Kafka to Snowflake using Snowpipe. I optimized Kafka MSK configurations to improve message consumption and streamline data flow to S3, ensuring timely delivery in collaboration with Backend, DevOps, and external teams.
• I’ve consistently focused on process improvement by automating workflows, such as optimizing Snowflake SQL execution and implementing retry mechanisms for Glue crawlers. These efforts enhanced system reliability and reduced operational overhead.
• Beyond technical achievements, I prioritize knowledge sharing and process transparency. I’ve created detailed incident documentation, conducted workshops, and led discussions on data modeling best practices, enabling a scalable and secure data warehouse.
• My work reflects a balance of innovation, problem-solving, and teamwork, allowing me to drive key initiatives and deliver results in fast-paced, dynamic environments.

May 2021 – Apr 2023 · 1 yr 11 mos · Berlin, Germany

• As part of the core supplier-facing data engineering team, I was involved in building and
• maintaining the supplier reporting pipelines which served as a dashboard for all of the
• supplier’s key monetary and non-monetary performances. This involves reporting the
• supplier’s net sales, number of units sold providing granularity until the part level. In
• addition to that, drilling down into the important KPIs of the suppliers like delivery time,
• damage ratio, and profitability index. My primary responsibilities included:
• Designing and building end-to-end ETL pipelines by leveraging open-source technologies
• like Apache Flink along with proprietary cloud technologies like Google Big Query.
• As an alternate source for data at rest, built pipelines to push data into Elasticsearch as
• well as Google BigTable
• Building low latency GraphQL APIs using Rx Java to fetch data from Elasticsearch and
• rendering it on the UI
• Building data quality pipelines using Great Expectations to ensure the highest quality of the
• data.
• Lead multiple rounds of design discussions highlighting the pros and cons of each approach.
• Advocated for the highest standards of design and coding quality internally in the team
• Conducted demos for external teams highlighting the key technical accomplishments
• within the team
• Conducted knowledge-sharing sessions based on learnings from personal development
• goals

Oct 2019 – May 2021 · 1 yr 7 mos · Berlin Area, Germany

• As part of the Central Data team, my primary responsibilities
• include:
• Onboarding new data sources from various backend databases
• Managing Data ops for the team by using infrastructure as code tools like Terraform.
• Writing python code for on boarding data from third party APIs into the data
• warehouse.
• Ensuring the availability and accessibility of existing data pipelines
• Orchestrating and managing jobs in Apache Airflow
• Educating stakeholders on various data sources available in the data warehouse.
• Interacting with stakeholders for new data or existing data related queries

Dec 2018 – Oct 2019 · 10 mos · Kuala Lumpur, Malaysia

Apr 2018 – Oct 2018 · 6 mos

Sep 2016 – Mar 2018 · 1 yr 6 mos

Aug 2015 – Sep 2016 · 1 yr 1 mo · Mumbai Area, India

• Was part of the entire development life cycle of the project which involved developing the UI from scratch using the latest UI frameworks. Developing critical change request for the client .Eventually worked on the performance enhancement access of the application.

Jul 2014 – Jul 2015 · 1 yr · Mumbai Area, India

• Was part of the entire development life cycle of the project which involved developing the UI from scratch using the latest UI frameworks. Developing critical change request for the client .Eventually worked on the performance enhancement access of the application.